ck-means and fck-means: Two Deterministic Initialization Procedures for k-means Algorithm Using a Modified Crowding Distance

ck-means and fck-means: Two Deterministic Initialization Procedures for k-means Algorithm Using a Modified Crowding Distance

This paper presents two novel deterministic initialization procedures for k-means clustering based on a modified crowding distance. The procedures, named ck-means and fck-means, use more crowded points as initial centroids. Experimental studies on multiple datasets demonstrate that the proposed appr...

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Bibliographic Details
Main Author: Abdesslem Layeb
Format: Article
Language:ces
Published: Prague University of Economics and Business 2023-10-01
Series:Acta Informatica Pragensia
Subjects:
clustering
kmeans
kmeans++
initialization
crowding distance
heuristics
Online Access:https://aip.vse.cz/artkey/aip-202302-0011_ck-means-and-fck-means-two-deterministic-initialization-procedures-for-k-means-algorithm-using-a-modified-crow.php

Internet

https://aip.vse.cz/artkey/aip-202302-0011_ck-means-and-fck-means-two-deterministic-initialization-procedures-for-k-means-algorithm-using-a-modified-crow.php

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