Variance, Clustering, and Density Estimation Revisited

@tachyeonz : We propose here a simple, robust and scalable technique to perform supervised clustering on numerical data. It can also be used for density estimation, and even to define a concept of variance that is scale-invariant. This is part of our general statistical framework for data science.

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Tags : algorithms, analytics, clustering, error, machine learning, noise, statistics, variance, z

Published On:July 05, 2016 at 10:22AM

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Twitter :@tachyeonz

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