Estimating the Mean Number of K-Means Clusters to Form
Machine Learning
2016-02-12 v2
Abstract
Utilizing the sample size of a dataset, the random cluster model is employed in order to derive an estimate of the mean number of K-Means clusters to form during classification of a dataset.
Cite
@article{arxiv.1503.03488,
title = {Estimating the Mean Number of K-Means Clusters to Form},
author = {Robert A. Murphy},
journal= {arXiv preprint arXiv:1503.03488},
year = {2016}
}
Comments
These writings are part of a longer writing which has been submitted for publication. I plan to replace this writing (and the other 2 writings) with the single writing that has been submitted for publication. The other writings to be withdraw are 1501.07227 and 1412.4178