PP: Unsupervised deep embedding for clustering analysis

Problem: unsupervised clustering

represent data in feature space; learn a non-linear mapping from data space X to feature space Z. 

Problem formulation: cluster a set of n points into k clusters, each represented by a centroid uj.

 

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Origin www.cnblogs.com/dulun/p/12324544.html