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K-means clustering

Known as: K-means, K-means clustering algorithm, Kmeans 
k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Hybrid Genetic Algorithm with K-Means for Clustering Problems
The K-means method is one of the most widely used clustering methods and has been implemented in many fields of science and… 
Highly Cited
2014
Highly Cited
2014
An Improved K-Means Clustering Algorithm
Aiming at the problemsof too much iterative times in selecting initial centroids stochastically for K-Means algorithm,a method is… 
Review
2010
Review
2010
K-MEANS CLUSTERING USING WEKA INTERFACE
Weka is a landmark system in the history of the data mining and machine learning research communities,because it is the only… 
Highly Cited
2010
Highly Cited
2010
An integration of WordNet and fuzzy association rule mining for multi-label document clustering
Highly Cited
2009
Highly Cited
2009
A fast algorithm for intentional islanding of power systems using the multilevel kernel k-means approach
2009
2009
Privacy preservation in k-means clustering by cluster rotation
The use of clustering as a data analysis tool has raised concerns about the violation of individual privacy. This paper proposes… 
Highly Cited
2008
Highly Cited
2008
Multi-step ahead nonlinear identification of Lorenz’s chaotic system using radial basis neural network with learning by clustering and particle swarm optimization
Highly Cited
2007
Highly Cited
2007
Using data mining techniques to predict industrial wine problem fermentations
Review
2006
Review
2006
Clustering with Entropy-Like k-Means Algorithms
The aim of this chapter is to demonstrate that many results attributed to the classical k-means clustering algorithm with the… 
Highly Cited
2003
Highly Cited
2003
Some recent results on hyperspectral image classification
In this paper, we present a summary of our ongoing research on the classification of hyperspectral images. We are experimenting… 
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