Results 281 to 290 of about 18,390,026 (306)

PERFORMANCE COMPARISON OF K-MEANS, PARALLEL K-MEANS AND K-MEANS++

K-means clustering is a fundamental unsupervised machine learning technique widely applied in various domains such as data analysis, pattern recognition, and clustering-based tasks. However, its efficiency and scalability can be challenged, particularly when dealing with large-scale datasets and complex data structures.
Aliguliyev, Ramiz, Shalala F. Tahirzada
openaire   +1 more source

Generalized Reduced K–Means

Computational Statistics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bottazzi Schenone, Mariaelena, Rocci, Roberto, Vichi, Maurizio   +2 more
openaire   +2 more sources

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

Information Sciences, 2022
A. M. Ikotun, Ezugwu E. Absalom, L. Abualigah, Belal Abuhaija, H. Jia   +4 more
semanticscholar   +1 more source

Balanced k-Means

2017
K-Means is a very common method of unsupervised learning in data mining. It is introduced by Steinhaus in 1956. As time flies, many other enhanced methods of k-Means have been introduced and applied. One of the significant characteristic of k-Means is randomize.
Chen-Ling Tai, Chen-Shu Wang
openaire   +1 more source

Data clustering: 50 years beyond K-means

Pattern Recognition Letters, 2008
Anil K. Jain
semanticscholar   +1 more source

An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis

Pattern Recognition, 2023
Haize Hu, Jianxun Liu, Xiangping Zhang, Mengge Fang   +3 more
semanticscholar   +1 more source

An Efficient k-Means Clustering Algorithm: Analysis and Implementation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, A. Wu   +5 more
semanticscholar   +1 more source

K-Means

2022
Christo El Morr, Manar Jammal, Hossam Ali-Hassan, Walid El-Hallak   +3 more
openaire   +1 more source

Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values

Data mining and knowledge discovery, 1998
J. Huang
semanticscholar   +1 more source

A k-means clustering algorithm

, 1979
J. Hartigan, M. A. Wong
semanticscholar   +1 more source