Description: BIRCH (Balanced Iterative Reducing and Clustering, using Hierarchies) is a comprehensive hierarchical clustering algorithm. It uses the characteristics of clustering (Clustering, Feature CF), and the two concepts of clustering feature tree (CF Tree), used to summarize the clustering description. The clustering feature tree summarizes the useful information of the clustering and space than a much smaller data sets can be stored in memory, which can improve the clustering algorithm on large data sets, speed and scalability.
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IrisData4.cpp