Robust clustering with adaptive order graph learning

J Tang, Y Gao, S Jia, H Feng - Information Sciences, 2023 - Elsevier
Non-negative matrix factorization and spectral clustering are widely recognized techniques
in data analysis due to their distinctive geometric interpretation and proven effectiveness …

A partitioning incremental algorithm using adaptive Mahalanobis fuzzy clustering and identifying the most appropriate partition

R Scitovski, K Sabo, D Grahovac… - Pattern analysis and …, 2025 - Springer
This paper deals with the problem of determining the most appropriate number of clusters in
a fuzzy Mahalanobis partition. First, a new fuzzy Mahalanobis incremental algorithm is …

Multiple spheres detection problem—Center based clustering approach

K Sabo, R Scitovski, Š Ungar - Pattern recognition letters, 2023 - Elsevier
In this paper, we propose an adaptation of the well-known k-means algorithm for solving the
multiple spheres detection problem when data points are homogeneously scattered around …

Earthquake analysis of clusters of the most appropriate partition

A Morales-Esteban, R Scitovski, K Sabo… - Journal of …, 2024 - Springer
In our paper, we propose the most appropriate partition to depict the seismogenic zones of
an active seismic region. To do so, the earthquake data considered are the location and …