July 2017
Intermediate to advanced
360 pages
8h 26m
English
Content preview from Machine Learning Algorithms
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Hierarchical Clustering
In this chapter, we're going to discuss a particular clustering technique called hierarchical clustering. Instead of working with the relationships existing in the whole dataset, this approach starts with a single entity containing all elements (divisive) or N separate elements (agglomerative), and proceeds by splitting or merging the clusters according to some specific criteria, which we're going to analyze and compare.
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