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Keyword

clustering algorithm comparison

Description: The comparative evaluation of clustering algorithms, typically assessing differences in their results, suitability, or behavior on data.
OpenAlex ID: keywords/clustering-algorithm-comparison
A Comparison of Document Clustering Techniques
2000 · Michael Steinbach, George Karypis, et al. · 2,539
Community detection in networks: A user guide
2016 · Santo Fortunato, Darko Hric · Physics Reports · 2,107
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Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
2010 · Nguyễn Xuân Vinh, Julien Epps, et al. · Minerva Access (University of Melbourne) · 1,809
Comparing clusterings—an information based distance
2006 · Marina Meilă · Journal of Multivariate Analysis · 1,548
Principal component analysis for clustering gene expression data
2001 · K. Y. Yeung, W. L. Ruzzo · Bioinformatics · 1,272
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Clustering high-dimensional data
2009 · Hans-Peter Kriegel, Peer Kröger, et al. · ACM Transactions on Knowledge Discovery from Data · 1,092
Hierarchical grouping methods and stopping rules: an evaluation
1977 · R. Mojena · The Computer Journal · 982
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Information theoretic measures for clusterings comparison
2009 · Nguyen Xuan Vinh, Julien Epps, et al. · International Conference on Machine Learning · 949
Validating clustering for gene expression data
2001 · K. Y. Yeung, D. R. Haynor, et al. · Bioinformatics · 713
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Comparing Clusterings by the Variation of Information
2003 · Marina Meilă · Lecture notes in computer science · 608
Comparing clusterings
2005 · Marina Meilǎ · International Conference on Machine Learning · 596
Evaluation of hierarchical clustering algorithms for document datasets
2002 · Ying Zhao, George Karypis · ACM International Conference on Information and Knowledge Management (CIKM) · 558
Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
2013 · Soumi Ghosh, Sanjay Kumar · International Journal of Advanced Computer Science and Applications · 536
A survey of fuzzy clustering algorithms for pattern recognition. I
1999 · A. Baraldi, P. Blonda · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 530
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
2007 · Limin Fu, Enzo Medico · BMC Bioinformatics · 527
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Analysis of K-Means and K-Medoids Algorithm For Big Data
2016 · Preeti Arora, Deepali, et al. · Procedia Computer Science · 525
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Aligning gene expression time series with time warping algorithms
2001 · John Aach, George M. Church · Bioinformatics · 496
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Clustering cancer gene expression data: a comparative study
2008 · Marcilio CP de Souto, Ivan G Costa, et al. · BMC Bioinformatics · 444
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Alternatives to the k-means algorithm that find better clusterings
2002 · Greg Hamerly, Charles Elkan · ACM International Conference on Information and Knowledge Management (CIKM) · 438
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A Comparison of Some Methods of Cluster Analysis
1967 · J. C. Gower · Biometrics · 411
Comparisons and validation of statistical clustering techniques for microarray gene expression data
2003 · Susmita Datta, Somnath Datta · Bioinformatics · 401
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Cluster analysis applied to regional geochemical data: Problems and possibilities
2008 · Matthias Templ, Peter Filzmoser, et al. · Applied Geochemistry · 392
K-means with Three different Distance Metrics
2013 · Archana Singh, Avantika Yadav, et al. · International Journal of Computer Applications · 381
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CLICK and EXPANDER: a system for clustering and visualizing gene expression data
2003 · Roded Sharan, Adi Maron-Katz, et al. · Bioinformatics · 370
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Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
1999 · Alexander Hinneburg, Daniel A. Keim · KOPS (University of Konstanz) · 339
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Works count: 2,954
Citation count: 47,380
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