Similarity and stability analysis of the two partitioning type clustering algorithms
Fazlı Can, Esen A. Ozkarahan · Journal of the American Society for Information Science · 1985
Abstract The similarity and stability analysis of the two partitioning type clustering algorithms, which appeared in this journal recently, are presented with respect to two different metrics. This article also includes other aspects of the algorithms, such as the number and size of the clusters generated, the similarity between the members of a cluster and the corresponding centroid, and other relevant details. In the experiments, a document collection consisting of the titles, abstracts, and keywords of 167 ACM TODS publications was used.