Cluster Analysis, including: Neighbor-joining, Upgma, Information Bottleneck Method, Thresholding (image Processing), Linde-buzo-gray Algorithm, ... Constrained Clustering, K-medians Clustering

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More info: Cluster analysis or clustering is the assignment of a set of observations into subsets (called clusters) so that observations in the same cluster are similar in some sense. 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.