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Introduction to Cluster Analysis in R

Introduction Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). Clustering can be applied to microarray data to identify groups of possibly co-regulated genes or spatial gene expression patterns. In Anja von Heydebreck’s presentation Clustering analysis for microarray data, he introduced many clustering methods including K-means clustering, PAM and Hierarchical clustering.