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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

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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… 
2013
2013
Optimization to K-means initial cluster centers
To solve this problems that the traditional K-means algorithm has sensitivity to the initial cluster centers, a new improved K… 
2012
2012
Selecting Key Poses on Manifold for Pairwise Action Recognition
In action recognition, bag of visual words based approaches have been shown to be successful, for which the quality of codebook… 
2012
2012
Evaluation of Fuzzy K-Means And K-Means Clustering Algorithms In Intrusion Detection Systems
:- According to the growth of the Internet technology, there is a need to develop strategies in order to maintain security of… 
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… 
2010
2010
K-means clustering with manifold
K-means clustering is a popular conventional clustering algorithm. As it does not use the structure information of data sets… 
2010
2010
Image Segmentation Using the K-means Algorithm for Texture Features
This study aims to segment objects using the K-means algorithm for texture features. Firstly, the algorithm transforms color… 
2008
2008
New Efficient Strategy to Accelerate k-Means Clustering Algorithm
One of the most popular clustering techniques is the k-means clustering algorithm. However, the utilization of the k-means is… 
2005
2005
Computational Intelligence Processing in Medical Diagnosis
Introduction.- Computational intelligence techniques in medical decision making: the data mining perspective.- Internet-based… 
1999
1999
AntClass: discovery of clusters in numeric data by an hybridization of an ant colony with the Kmeans
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