On Seeking Consensus Between Document Similarity Measures
Artificial Intelligence
2017-02-14 v1
Abstract
This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set. We show that when using a "complement" of Rand Index as a measure of cluster similarity, the total-separation partition, putting each element in a separate set, is chosen.
Cite
@article{arxiv.1702.03724,
title = {On Seeking Consensus Between Document Similarity Measures},
author = {Mieczysław Kłopotek},
journal= {arXiv preprint arXiv:1702.03724},
year = {2017}
}