7 citations · 28 across the 48 of their papers we have counts for
4 papers · 1 filter
Eigenvalue-based Incremental Spectral Clustering
Mieczysław A. Kłopotek, Bartłmiej Starosta, Sławomir T. Wierzchoń
Our previous experiments demonstrated that subsets collections of (short) documents (with several hundred entries) share a common normalized in some way eigenvalue spectrum of comb…
Wide Gaps and Clustering Axioms
Mieczysław A. Kłopotek
The widely applied k-means algorithm produces clusterings that violate our expectations with respect to high/low similarity/density and is in conflict with Kleinberg's axiomatic sy…
Are Easy Data Easy (for K-Means)
Mieczysław A. Kłopotek
This paper investigates the capability of correctly recovering well-separated clusters by various brands of the -means algorithm. The concept of well-separatedness used here is…
Explainable Graph Spectral Clustering of Text Documents
Bartłomiej Starosta, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń
Spectral clustering methods are known for their ability to represent clusters of diverse shapes, densities etc. However, results of such algorithms, when applied e.g. to text docum…