In the previous chapter, we discussed techniques for finding a pattern in data point attributes and using these findings to place data points in distinctive flat clusters. The word “flat” means no structure relating one cluster to another. Sometimes, however, we want more details on how clusters are structured internally and how they relate. This is where the hierarchical clusters will help.

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Hierarchical Clustering

  • Andrei P. Kirilenko

摘要

In the previous chapter, we discussed techniques for finding a pattern in data point attributes and using these findings to place data points in distinctive flat clusters. The word “flat” means no structure relating one cluster to another. Sometimes, however, we want more details on how clusters are structured internally and how they relate. This is where the hierarchical clusters will help.