A multi-objective vibrating particle system algorithm for data clustering
A Kaur, Y Kumar - Pattern Analysis and Applications, 2022 - Springer
Clustering is an important data mining technique described as unsupervised learning. Till
date, many single-objective clustering algorithms have been developed on the basis of …
date, many single-objective clustering algorithms have been developed on the basis of …
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and -MOCK
A Kultzak, CY Morimoto, A Pozo… - … Conference on Neural …, 2021 - Springer
We present a data-driven analysis of MOCK,\varDelta Δ-MOCK, and MOCLE. These are
three closely related approaches that use multi-objective optimization for crisp clustering …
three closely related approaches that use multi-objective optimization for crisp clustering …
Design of Single and Multiobjective Metaheuristic Algorithms for Effective Data Clustering
A Kaur, Y Kumar - 2022 - ir.juit.ac.in
Clustering is an important data analysis technique to find similar data objects in a given
dataset. It is unsupervised learning and has proven its capability in diverse research fields …
dataset. It is unsupervised learning and has proven its capability in diverse research fields …
Improving the Clustering Algorithms Automatic Generation Process with Cluster Quality Indexes
M Montenegro, A Meiguins, B Meiguins… - … on Computational Science …, 2020 - Springer
AutoClustering is a computational tool for the automatic generation of clustering algorithms,
which combines and evaluates the main parts of density-based algorithms to generate more …
which combines and evaluates the main parts of density-based algorithms to generate more …