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Clustering is a method of unsupervised learning, and a common technique for statistical data analysis used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Read more
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Combining partitional and hierarchical algorithms for robust and efficient data clustering with cohesion self-merging Cheng-Ru Lin, Ming-Syan Chen |
A Comparison of Document Clustering Techniques
Michael Steinbach, George Karypis, Vipin Kumar |
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu - Author introduce a new density-based algorithm DBSCAN.
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A k-means clustering algorithm JA Hartigan, MA Wong |
A Survey of Clustering Data Mining Techniques Pavel Berkhin |
A survey of Web clustering engines Claudio Carpineto, Stanislaw Osiński, Giovanni Romano, Dawid Weiss |
A Very Fast Method for Clustering Big Text Datasets Frank Lin and William W. Cohen |
Building High-level Features Using Large Scale Unsupervised Learning Quoc V. Le, Marc |
Carrot2 and Language Properties in Web Search Results Clustering - A clustering engine
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Clustering - What Both Theoreticians and Practitioners are Doing Wrong Shai Ben-David |
Clustering Related Stories Jenny Finkel - HowTo: real-world clustering in layman terms.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie , Robert Tibshirani , Jerome Friedman |
Web Document Clustering Using The Suffix Trees Oren Zamir, Oren Etzioni - This paper describes STC clustering algorithm.To satisfy the stringent requirements of the Web domain,we introduce an incremental, linear time (in the documentcollection size) algorithm called Suffix Tree Clustering (STC).
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Yale Clustering - A Plugin for Advanced Clustering in Yale - The YALE Clustering Plugin provides a framework and some basic functionality to enable advanced clustering in YALE.
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