K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters

This paper introduces k-splits, an improved hierarchical algorithm based on k-means to cluster data without prior knowledge of the number of clusters. K-splits starts from a small number of clusters and uses the most significant data distribution axis to split these clusters incrementally into bette...

Celý popis

Podrobná bibliografia

Vydané v:	arXiv.org
Hlavní autori:	Mohammadi, Seyed Omid, Kalhor, Ahmad, Bodaghi, Hossein
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 24.05.2022
Predmet:	Algorithms Centroids Cluster analysis Clustering Datasets Vector quantization
ISSN:	2331-8422
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!