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.
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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 -
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| A Comparison of Document Clustering Techniques
Michael Steinbach, George Karypis, Vipin Kumar -
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| 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 -
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| A Survey of Clustering Data Mining Techniques Pavel Berkhin -
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| The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie , Robert Tibshirani , Jerome Friedman -
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| 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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