Basic Principles of Clustering Methods
Machine Learning
2019-12-11 v2 Machine Learning
Abstract
Clustering methods group a set of data points into a few coherent groups or clusters of similar data points. As an example, consider clustering pixels in an image (or video) if they belong to the same object. Different clustering methods are obtained by using different notions of similarity and different representations of data points.
Keywords
Cite
@article{arxiv.1911.07891,
title = {Basic Principles of Clustering Methods},
author = {Alexander Jung and Ivan Baranov},
journal= {arXiv preprint arXiv:1911.07891},
year = {2019}
}