A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters-Reference-Cited by-同舟云学术

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A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters

Published:2022-04 Issue: Volume:191 Page:116329
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Abdalameer Ahmed Khaldoon,Alswaitti Mohammed,Alsudani Ahmed Adnan,Isa Nor Ashidi Mat

Funder

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. Variance-based differential evolution algorithm with an optional crossover for data clustering;Alswaitti;Applied Soft Computing,2019

2. Optimized gravitational-based data clustering algorithm;Alswaitti;Engineering Applications of Artificial Intelligence,2018

3. Comparative study on classifying human activities with miniature inertial and magnetic sensors;Altun;Pattern Recognition,2010

4. An adaptive multipopulation differential evolution with dynamic population reduction;Ali;IEEETrans. Cybern.,2017

5. An extensive comparative study of cluster validity indices;Arbelaitz;Pattern Recognition,2013

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