K-means algorithm - Open Access .click

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2019
In this paper Mercer kernels with certain invariance properties are briefly introduced and an apparently not well-known construction using certain cohomology groups is described. As a consequence some kernels arising from this are given. Hence a kernel version of an iterative k-means algorithm due to Duda et al. is exhibited.
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A conceptual version of the K-means algorithm

Pattern Recognition Letters, 1995
Clustering techniques are important for knowledge acquisition. Traditionally, numerical clustering methods have been viewed in opposition to conceptual clustering methods developed in Artificial Intelligence. Numerical techniques emphasize the determination of homogeneous clusters but provide low-level descriptions of clusters. A conceptual approach is
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Weight in Competitive K-Means Algorithm

2012
K-means algorithm is a well-known clustering method. Typically, the k-means algorithm treats all features fairly and sets weights of all features equally when evaluating dissimilarity. However, experiment results show that a meaningful clustering phenomenon often occurs in a subspace defined by some specific features.
Tingting Cui +3 more
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An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis

Pattern Recognition, 2023
Haize Hu, Jianxun Liu
exaly

GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game

Knowledge-Based Systems, 2021
Mustafa Jahangoshai Rezaee, Milad Eshkevari, Morteza Saberi +2 more
exaly

Accelerating k-means ++ Algorithm

2025 IEEE International Conference on Big Data (BigData)
Jiehao Liang +5 more
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An efficient k-means clustering algorithm: analysis and implementation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
N S Netanyahu
exaly

Distributed $k$ -Means Algorithm and Fuzzy $c$ -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory

IEEE Transactions on Cybernetics, 2017
Jiahu Qin, Weiming Fu, Huijun Gao
exaly

Modified global -means algorithm for minimum sum-of-squares clustering problems

Pattern Recognition, 2008
Adil Bagirov
exaly

An evolutionary technique based on K-Means algorithm for optimal clustering in RN

Information Sciences, 2002
Sanghamitra Bandyopadhyay, Ujjwal Maulik +1 more
exaly

clustering
k-means
fos: computer and information sciences

computer science - machine learning
machine learning cs.lg
data structures and algorithms cs.ds

computer science - data structures and algorithms
k-means clustering
data mining