February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Soft clustering
All of the algorithms that were analyzed in Chapter 4, Hierarchical Clustering in Action, belong to the family of hard clustering methods. This means that a given sample is always assigned to a single cluster. On the other hand, soft clustering is aimed at associating each sample, xi with a vector, generally representing the probability that xi belongs to every cluster:
Alternatively, the output can be interpreted as a membership vector:
Formally, there are no differences between the two versions, but normally, the latter is ...
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