Search Results

Commonality Analysis Using Clustering Methods,
Lawrence Dale Thomas, in Operations Research (1991)
Keywords: engineering: systems optimization, statistics, cluster analysis: variance methods

Spectral methods for growth curve clustering,
Snježana Majstorović, Kristian Sabo, Johannes Jung and Matija Klarić, in Central European Journal of Operations Research (2018)
Keywords: Curve clustering, Similarity graph, Laplacian matrix, Modularity matrix, Spectral methods

Investigation of proportional link linkage clustering methods,
William Day and Herbert Edelsbrunner, in Journal of Classification (1985)
Keywords: Algorithm complexity, Algorithm design, Integer link linkage clustering method, Monotone invariance, SAHN clustering method, Space distortion,

Efficient algorithms for agglomerative hierarchical clustering methods,
William Day and Herbert Edelsbrunner, in Journal of Classification (1984)
Keywords: Algorithm complexity, Algorithm design, Centroid clustering method, Geometric model, SAHN clustering method,

When genesis shapes cluster life cycle? Applying mixed method on a French cluster case study,
Bastien Bernela, Marie Ferru and Marc-Hubert Depret, from HAL (2017)
Keywords: Cluster life cycle,genesis,embeddedness,mixed method,cluster policy

An Effective Partitional Crisp Clustering Method Using Gradient Descent Approach,
Soroosh Shalileh, in Mathematics (2023)
Keywords: clustering objective functions; clustering methods; gradient descent approach

The Use of Clustering Methods and Machine Learning Algorithms in the Trading Enterprise for Customer Segmentation,
Mieczyslaw Pawlowski and Jaroslaw Banaœ, from ToKnowPress (2016)
Keywords: clusters, clustering methods, customer segmentation, customized offer, enterprise.

Equivalence of two parallel approaches to the cluster variation method: the multisite correlation functions method and the cluster effective fields method,
V.M. Matić and S. Milošević, in Physica A: Statistical Mechanics and its Applications (1999)
Keywords: Binary systems; Cluster variation method; Multisite correlation functions; Cluster effective fields; Low-temperature states;

Robustness of clustering methods for identification of potential falsifications in survey data,
Nina Storfinger and Peter Winker, from Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU) (2011)
Keywords: interviewer falsifications, cluster analysis, bootstrap method

Impact Evaluation of a Cluster Program: An Application of Synthetic Control Methods,
Diego Aboal, Gustavo Crespi and Marcelo Perera, from Inter-American Development Bank (2017)
Keywords: cluster policy;impact evaluation;synthetic control methods

Disclosure and determinants studies: an extension using the divisive clustering method (DIV),
Yuan Ding, Hervé Stolowy, Linghui Fu and Huiwen Wang, from HEC Paris (2004)
Keywords: disclosure; determinants; provisions; France; size; clustering method

Risk measures-based cluster methods for finance,
Pablo Cristini Guedes, Fernanda Maria Müller and Marcelo Righi, in Risk Management (2023)
Keywords: Risk measures, Cluster methods, Capital determination, Portfolio optimization, Asset pricing

The Method of Regions’ Typology by the Level of Cluster Potential,
Elena Kozonogova and Julia Dubrovskaya, from Springer (2019)
Keywords: Cluster potential, Territorial development, Regions’ typology, Economic mathematical methods

Identification of Clusters - An Actor based Approach,
Thomas Brenner, from Philipps University Marburg, Department of Geography (2017)
Keywords: Cluster, cluster identification, spatial methods

Spin-32 Ising model by the cluster variation method and the path probability method,
O. Canko and M. Keskin, in Physica A: Statistical Mechanics and its Applications (2006)
Keywords: Spin-32 Ising model; Cluster variation method; Path probability method; Metastable and unstable states; Relaxation curves;

A review of robust clustering methods,
Luis García-Escudero, Alfonso Gordaliza, Carlos Matrán and Agustín Mayo-Iscar, in Advances in Data Analysis and Classification (2010)
Keywords: Clustering, Robustness, Model-based clustering, Trimming, 62h30, 62G35,

A discriminant method of clustering,
V. Yu. Urbakh, in Journal of Multivariate Analysis (1972)
Keywords: Discriminant analysis clustering mixed population

Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries,
Chiheb-Eddine N’Cir, Nadia Essoussi and Mohamed Limam, in Journal of Classification (2015)
Keywords: Overlapping clustering, Non-disjoint clusters, Learning multi-labels, Kernel methods, Kernel K-means, Nonlinear separations, Non-linearly-separable clusters.,

Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data,
Konrad Abramowicz, Sara Sjöstedt de Luna and Johan Strandberg, in Computational Statistics & Data Analysis (2023)
Keywords: Categorical dependent data; Clustering; Bagging methods; Entropy;

Hierarchical conceptual clustering based on quantile method for identifying microscopic details in distributional data,
Kadri Umbleja, Manabu Ichino and Hiroyuki Yaguchi, in Advances in Data Analysis and Classification (2021)
Keywords: Conceptual clustering, Quantile method, Symbolic data

A Two-Step Best-Worst Method (BWM) and K-Means Clustering Recommender System Framework,
Saeed Najafi-Zangeneh, Naser Shams-Gharneh and Ali Arjomandi-Nezhad, from Springer (2022)
Keywords: Best Worst Method, Clustering, Recommender systems

A Hybrid Clustering Method Using Balanced Scorecard and Data Envelopment Analysis,
Heris Golpira, in International Journal of Innovation and Economic Development (2016)
Keywords: Balanced Scorecard, Data Envelopment Analysis, Ranking method, Clustering

Network structure and governance in sport clusters: a mixed methods analysis,
Anna Gerke, Geoff Dickson and Hagen Wäsche, from HAL (2021)
Keywords: network governance,interorganisational,sport cluster,mixed methods,network analysis

Determining the management zones with hierarchic and non-hierarchic clustering methods,
J. Galambošová, V. Rataj, R. Prokeinová and J. Prešinská, in Research in Agricultural Engineering (2014)
Keywords: Ward's method, k-means clustering, CCC, yield data, EMI

Block Kaczmarz–Motzkin Method via Mean Shift Clustering,
Yimou Liao, Tianxiu Lu and Feng Yin, in Mathematics (2022)
Keywords: consistent linear system; Kaczmarz–Motzkin; clustering method; convergence property

Clustering method based on the elastic energy functional of directed signed weighted graphs,
Alexander Tselykh, Vladislav Vasilev and Larisa Tselykh, in Physica A: Statistical Mechanics and its Applications (2019)
Keywords: Elastic energy functional; Directed weighted graphs; Clustering detection; Optimization methods;

The Contribution of Green Marketing in the Development of a Sustainable Destination through Advanced Clustering Methods,
Georgică Gheorghe, Petronela Tudorache and Ioan Mihai Roşca, in Sustainability (2023)
Keywords: green tourism; green marketing; clustering methods; multivariate analysis; tourist profile

Measuring systemic diversity of Chinese universities: a clustering-method approach,
Chuanyi Wang and Qiang Zha, in Quality & Quantity: International Journal of Methodology (2018)
Keywords: Measurement, Systemic diversity, Clustering-method model, Chinese universities

Applying the Gradient Projection Method to a Model of Proportional Membership for Fuzzy Cluster Analysis,
Susana Nascimento, from Springer (2016)
Keywords: Fuzzy proportional membership, Gradient projection method, Extremal cluster prototype

An extreme value prediction method based on clustering algorithm,
Baorui Dai, Ye Xia and Qi Li, in Reliability Engineering and System Safety (2022)
Keywords: Random variables; Extreme value; Mixed distribution; Generalized extreme value mixture model; Clustering; Elbow method;

ab initioLCAO Calculations of Small Helium Clusters,
A. M. Mazzone, in International Journal of Modern Physics C (IJMPC) (1997)
Keywords: LCAO Methods, He Clusters

Identification and assessment of regional clusters,
Svetlana Rastvortseva and Natalya Cherepovskaya, in Economy of region (2013)
Keywords: Territorial clusters, regional clusters, the method of identification and assessment of potential clusters

Soft Set Decision and Cluster Percolation Method-Based Policy Clustering and Encryption Optimization for CP-ABE,
Wei Liu and Nurmamat Helil, in Mathematics (2024)
Keywords: ciphertext-policy attribute-based encryption; shared sub-policy; soft set decision-making method; cluster percolation method

THE USE OF TAXONOMY METHODS FOR CLUSTERING EUROPEAN UNION COUNTRIES DUE TO THE STANDARD OF LIVING,
Marta Kuc, in Oeconomia Copernicana (2012)
Keywords: standard of living, taxonomy methods, comparative analysis, Ward’s method, k-means clustering

A computationally efficient method for delineating irregularly shaped spatial clusters,
Juan Duque, Jared Aldstadt, Hermilson Velasquez, Jose Franco and Alejandro Betancourt, in Journal of Geographical Systems (2011)
Keywords: AMOEBA, Cluster detection, Local G statistic, Ecotope, C02 mathematical methods, C4 econometric and statistical methods: special topics,

Improving the performance of visualized clustering method,
B. Eswara Reddy and K. Rajendra Prasad, in International Journal of System Assurance Engineering and Management (2016)
Keywords: Clustering, Clustering tendency, VAT, MVS, GMM

An improved clustering method for uncertain system,
Jingjing Ye, Keping Li and Jing Li, in International Journal of Modern Physics C (IJMPC) (2019)
Keywords: Uncertain system, clustering, similarity

Spectral clustering methods for multiplex networks,
Daryl R. DeFord and Scott D. Pauls, in Physica A: Statistical Mechanics and its Applications (2019)
Keywords: Multiplex networks; Spectral clustering;

Recursive Clustering Methods for Network Analysis,
Mitri Kitti, Matti Pihlava and Hannu Salonen, from Aboa Centre for Economics (2018)
Keywords: networks; clustering; community structure

Method for evaluating the possibility of cluster forming,
Arkadii A. Simdiankin, Pavel S. Probin, Larisa N. Gerasimova, Zhanna Kevorkova, Vadim A. Dikikh and Aslan O. Nurmanov, in Entrepreneurship and Sustainability Issues (2020)
Keywords: cluster, clustering center, cluster core, geographical border, main and secondary organizations, ranking, significance, sports and dance cluster, "temporary" cluster, thematic border

Feature analysis applying clustering and optimisation methods to Mahalanobis-Taguchi method,
Shinichi Murata and Hiroshi Morita, in International Journal of Data Science (2023)
Keywords: Mahalanobis-Taguchi method; clustering; x-means; k-means; optimisation method; operations research; genetic algorithm; feature selection; data analysis; recorded TV data.

k-Means, Ward and Probabilistic Distance-Based Clustering Methods with Contiguity Constraint,
Andrzej Młodak, in Journal of Classification (2021)
Keywords: Contiguity constraint, k-Means method, Ward method, Probabilistic d-clustering, Correctness of clustering, Silhouette index, Rand index, Peirce index, Sokal and Sneath index

GraphClust: A Method for Clustering Database of Graphs,
Diego Reforgiato, Rodrigo Gutierrez and Dennis Shasha, in Journal of Information & Knowledge Management (JIKM) (2008)
Keywords: Text clustering, document vectors, graph clustering, graph substructure matching

Application of Multidimensional Evaluation Method of Clusters,
Veronika Jašíková and Petra Marešová, in Acta Universitatis Bohemiae Meridionales (2012)
Keywords: Regional Development; Clusters; Social Capital; Multidimensional; Evaluation of Clusters

Using K-means method and spectral clustering technique in an outfitter’s value analysis,
En-Chi Chang, Shian-Chang Huang and Hsin-Hung Wu, in Quality & Quantity: International Journal of Methodology (2010)
Keywords: K-means method, Spectral clustering technique, Cluster quality assessment, Marketing strategy, Customer value,

Using the Fuzzy Clustering and Principle Component Analysis for Assessing the Impact of Potential Evapotranspiration Calculation Method On the Modified RDI Index,
Abdol Rassoul Zarei, Mohammad Reza Mahmoudi and Ali Shabani, in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) (2021)
Keywords: PCA model, Fuzzy clustering, PET calculation method, Drought, Effective Rain

Discovering Spatio-Temporal Clusters of Road Collisions Using the Method of Fast Bayesian Model-Based Cluster Detection,
Yeran Sun, Yu Wang, Ke Yuan, Ting On Chan and Ying Huang, in Sustainability (2020)
Keywords: traffic safety; road collision; spatio-temporal cluster detection; fast Bayesian model-based detection method; street connectivity

HYPER-SPECTRAL DATA CLUSTERING METHOD BASED UPON THE SENSITIVE SUBSPACE,
Wencang Zhao and Wei Wang, in New Mathematics and Natural Computation (NMNC) (2007)
Keywords: Sensitive dimension, sensitive subspace, clustering methods, parzen window algorithm, RPCL, hyper-spectral data

Disclosure and determinants studies: An extension using the divisive clustering method (DIV),
Yuan Ding, Hervé Stolowy, Linghui Fu and Huiwen Wang, from HAL (2004)
Keywords: Disclosure,Provisions,France,Size,Clustering method,Publication,Déterminants,Taille,Méthode de classification

A method for clustering surgical cases to allow master surgical scheduling,
Jeroen van Oostrum, Tessa Parlevliet, Albert Wagelmans and Geert Kazemier, from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute (2008)
Keywords: Ward's hierarchical cluster method, health care efficiency, master surgical scheduling, operating room

A Proposal Method for Missing Value Analysis: Cluster Analysis Approach,
Uğur Arcagök and Çiğdem Arıcıgil Çilan, in Alphanumeric Journal (2021)
Keywords: Cluster Analysis, K-Nearest Neighbor İmputation Methods, Little’s MCAR Test, Missing Value Analysis

Environmental data processing by clustering methods for energy forecast and planning,
Annalisa Di Piazza, Maria Carmela Di Piazza, Antonella Ragusa and Gianpaolo Vitale, in Renewable Energy (2011)
Keywords: Wind energy; Photovoltaic energy; Distributed generation; Statistical methods; Data processing; Clustering;

Wind Mapping of Malaysia Using Ward’s Clustering Method,
Amar Azhar and Huzaifa Hashim, in Energies (2024)
Keywords: mean wind speed; coastal; inland; wind trendline; wind clustering; Ward’s method

Class Thresholds Pre-Definition by Clustering Techniques for Applications of ELECTRE TRI Method,
Flavio Trojan, Pablo Isaias Rojas Fernandez, Marcio Guerreiro, Lucas Biuk, Mohamed A. Mohamed, Pierluigi Siano, Roberto F. Dias Filho, Manoel H. N. Marinho and Hugo Valadares Siqueira, in Energies (2023)
Keywords: multi-criteria sorting procedure; clustering algorithms; multi-criteria sorting methods; class bounds and variations

A Review of Wind Clustering Methods Based on the Wind Speed and Trend in Malaysia,
Amar Azhar and Huzaifa Hashim, in Energies (2023)
Keywords: climate change; wind speed; wind trend; clustering; Ward’s method; k-means

Trust-Similarity Measure-Based Hierarchical Clustering Method,
Su-Min Yu and Zhi-Jiao Du, from Springer (2022)
Keywords: Large-group social network environment (LGSNE), Trust-similarity measure, Hierarchical clustering, Weight-determining method, Group decision-making (GDM), Social network analysis (SNA)

CLUSTER METHODS FOR ISING SYSTEMS WITH FIELDS,
J. Machta, in International Journal of Modern Physics C (IJMPC) (1999)
Keywords: Ising model, Cluster algorithm, Replica exchange model

Methods for the visualization of clustered climate data,
Thomas Nocke, Heidrun Schumann and Uwe Böhm, in Computational Statistics (2004)
Keywords: Visualization, Cluster Analysis, Climate Impact Research,

New clustering methods for interval data,
Marie Chavent, Francisco Carvalho, Yves Lechevallier and Rosanna Verde, in Computational Statistics (2006)
Keywords: Dynamic clustering, interval data, distances, prototypes,

Fractal characteristics of acoustic emission events based on single-link cluster method during uniaxial loading of rock,
Zhibo Zhang, Enyuan Wang and Nan Li, in Chaos, Solitons & Fractals (2017)
Keywords: Acoustic emission; Single-link cluster method; Spatial vector; Fractal dimension; Spherical surface-covering method;

Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables,
Wayne DeSarbo, J. Carroll, Linda Clark and Paul Green, in Psychometrika (1984)
Keywords: Cluster Analysis, Variable Importance,

Selection of the number of clusters via the bootstrap method,
Yixin Fang and Junhui Wang, in Computational Statistics & Data Analysis (2012)
Keywords: Cluster analysis; K-means; Spectral clustering; Stability;

An efficient secure key establishment method in cluster-based sensor network,
Akansha Singh and Khushboo Jain, in Telecommunication Systems: Modelling, Analysis, Design and Management (2022)
Keywords: Cluster-based sensor networks, Communication cost, Key storage, Hash function, Secure key establishment method, Wireless sensor networks

A Clustering Perspective of the Collatz Conjecture,
José A. Tenreiro Machado, Alexandra Galhano and Daniel Cao Labora, in Mathematics (2021)
Keywords: multidimensional scaling; Collatz conjecture; clustering methods

Concentration of measure and cluster analysis,
Daniel Z. Zanger, in Statistics & Probability Letters (2003)
Keywords: Asymptotic analysis of algorithms Measure concentration Clustering methods

Spectral methods for graph clustering - A survey,
Mariá C.V. Nascimento and André C.P.L.F. de Carvalho, in European Journal of Operational Research (2011)
Keywords: Spectral clustering Min-cut Ratio cut ncut Modularity

MCS: A Method for Finding the Number of Clusters,
Ahmed Albatineh and Magdalena Niewiadomska-Bugaj, in Journal of Classification (2011)
Keywords: Similarity index, Clustering algorithm, Circular data, Bivariate normal mixture, Correction for chance agreement, Gap statistic, Number of clusters, Comparing partitions,

Spatial clustering: issues and methods for identifying industry clusters,
Roger R. Stough, from Edward Elgar Publishing (2014)
Keywords: Economics and Finance, Environment, Geography, Research Methods, Urban and Regional Studies,

RESILIENCE IN CLUSTERS: AN APPLICATION OF THE CLUSTER BRIDGE MODEL TO LIFE SCIENCE NORD (GERMANY),
Adriana Petre, in Revista Economica (2020)
Keywords: resilience, clusters, COVID-19 Pandemic, Cluster Bridge Model, qualitative methods

Access the cluster tendency by visual methods for robust speech clustering,
T. Suneetha Rani and M. H. M. Krishna Prasad, in International Journal of System Assurance Engineering and Management (2017)
Keywords: Speech clustering, k-means, MST-based clustering, VAT, GMM

Factor probabilistic distance clustering (FPDC): a new clustering method,
Cristina Tortora, Mireille Gettler Summa, Marina Marino and Francesco Palumbo, in Advances in Data Analysis and Classification (2016)
Keywords: Factor clustering, Probabilistic distance clustering, Tucker3, k-means

Clustering and Classification in Option Pricing,
Nikola Gradojevic, Dragan Kukolj and Ramazan Gencay, in Review of Economic Analysis (2011)
Keywords: Option Pricing, Clustering, Parametric Methods, Non-parametric Methods, Fuzzy Logic

Clustering via Hilbert space,
David Horn, in Physica A: Statistical Mechanics and its Applications (2001)
Keywords: Clustering; Support vector clustering; Hilbert space; Kernel methods; Scale-space clustering; Schrödinger equation;

A Method for Improving List Building: Cluster Profiling,
Will Cecere, Denise A. Abreu, Jaki McCarthy and Thomas Jacob, from United States Department of Agriculture, National Agricultural Statistics Service (2011)
Keywords: Research Methods/ Statistical Methods

Handling multicriteria preferences in cluster analysis,
Eduardo Fernandez, Jorge Navarro and Sergio Bernal, in European Journal of Operational Research (2010)
Keywords: Data mining Clustering Multicriteria analysis Outranking methods

Transformations of maps to investigate clusters of disease,
S. Selvin, D. Merrill, J. Schulman, S. Sacks, L. Bedell and L. Wong, in Social Science & Medicine (1988)
Keywords: cancer cartograms clusters epidemiologic methods mapping

Methods of assessment of the infrastructure of innovative clusters,
Valerii Valentinovich Kotilko and Vera Sergeevna Vishnyakova, in Economic Consultant (2016)
Keywords: infrastructure; innovation clusters; criteria; indicators; innovation; infrastructure; budget expenditures; budget revenues; management of financial flows

A Density-Sensitive Hierarchical Clustering Method,
Álvaro Martínez-Pérez, in Journal of Classification (2018)
Keywords: Hierarchical clustering, Single linkage, Chaining effect, Weakly unchaining, α-bridge-unchaining

Metastable and unstable states of the Blume–Capel model obtained by the cluster variation method and the path probability method,
Cesur Ekiz, Mustafa Keskin and Orhan Yalçın, in Physica A: Statistical Mechanics and its Applications (2001)
Keywords: Blume–Capel model; Cluster variation method; Path probability method; Metastable and unstable states; Relaxation curves; Phase transitions of the metastable and unstable branches of the order parameters;

Octa-Cluster: Different Perspectives on Quality of Life in Thailand,
Krittiya Kantachote and Nathakhun Wiroonsri, in SAGE Open (2023)
Keywords: mixed methods; cluster analysis; cluster validity index; XGBoost; interviews

An efficient method for batch updates in OPTICS cluster ordering,
Dhruv Kumar, Poonam Goyal and Navneet Goyal, in International Journal of Data Analysis Techniques and Strategies (2018)
Keywords: OPTICS; incremental clustering; batch updates; density-based clustering.

An image segmentation method based on network clustering model,
Yang Jiao, Jianshe Wu and Licheng Jiao, in Physica A: Statistical Mechanics and its Applications (2018)
Keywords: Network clustering model; Clustering phenomenon; Graph construction; Image segmentation;

Fast cluster bootstrap methods for linear regression models,
James MacKinnon, in Econometrics and Statistics (2023)
Keywords: cluster-robust variance estimator; CRVE; wild cluster bootstrap; pairs cluster bootstrap; wild restricted efficient cluster bootstrap; bootstrap Wald test;

Evidence against the Spanish stock market efficiency using the Nearest Neighbour method and a cluster forecasting technique,
Marcos Alvarez-Diaz, in International Journal of Monetary Economics and Finance (2009)
Keywords: stock market efficiency; nonlinear forecasting time series; cluster forecasting method; nearest neighbour method; Spain; stock markets; financial indices.

An empirical comparison and characterisation of nine popular clustering methods,
Christian Hennig, in Advances in Data Analysis and Classification (2022)
Keywords: Cluster benchmarking, Internal cluster validation, External cluster validation, Mixed effects model

Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score,
Luca Coraggio and Pietro Coretto, in Journal of Multivariate Analysis (2023)
Keywords: Cluster validation; Mixture models; Model-based clustering; Resampling methods;

An improved method for density-based clustering,
Hong Jin, Shuliang Wang, Qian Zhou and Ying Li, in International Journal of Data Mining, Modelling and Management (2014)
Keywords: density-based clustering; DENCLUE; optimal bandwidth selection; Bayesian posterior probability estimation; knowledge discovery; multimedia databases; parameter estimation.

Recombining partitions from multivariate data: a clustering method on Bayes factors,
Adolfo Álvarez, from Universidad Carlos III de Madrid. Departamento de Estadística (2014)
Keywords: Cluster analysis

Fast cluster bootstrap methods for linear regression models,
James MacKinnon, from Economics Department, Queen's University (2021)
Keywords: clustered data, cluster-robust variance estimator, CRVE, robust inference, wild cluster bootstrap, WCR bootstrap, pairs cluster bootstrap, wild restricted efficient cluster bootstrap, WREC bootstrap, bootstrap Wald test

Statistical Methods for Cost-Effectiveness Analyses That Use Data from Cluster Randomized Trials,
Manuel Gomes, Richard Grieve, Richard Nixon and W. J. Edmunds, in Medical Decision Making (2012)
Keywords: statistical methods; hierarchical models; cluster analysis; cost-effectiveness analysis; systematic reviews