Clustering Validity Indices Evaluation with Regard to Semantic Homogeneity
Tomasz Dziopa · Annals of Computer Science and Information Systems · 2016
Clustering validity indices are methods for examining and assessing the quality of data clustering results.Various studies provide a thorough evaluation of their performance using both synthetic and real-world datasets.In this work, we describe various approaches to the topic of evaluation of a clustering scheme.Moreover, a new solution to a problem of selecting an appropriate clustering validity index is presented.The approach is applied to a problem of selecting a suitable clustering validity index for a real-world task of clustering biomedical articles using the MeSH ontology.