Quantized Compressive K-Means

26 Apr 2018Vincent SchellekensLaurent Jacques

The recent framework of compressive statistical learning aims at designing tractable learning algorithms that use only a heavily compressed representation-or sketch-of massive datasets. Compressive K-Means (CKM) is such a method: it estimates the centroids of data clusters from pooled, non-linear, random signatures of the learning examples... (read more)

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