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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.
2018
2018
Evaluating Pattern Classification Techniques of Neural Network Using k -Means Clustering Algorithm
In the era of digitization, there is huge amount of digital data being processed and collected in the repositories. Lots of… 
Review
2017
Review
2017
Accelerating Lloyd’s Algorithm for k-Means Clustering
The k-means clustering algorithm, a staple of data mining and unsupervised learning, is popular because it is simple to implement… 
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
Mining fuzzy frequent itemsets for hierarchical document clustering
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
Fault-resilient sensing in wireless sensor networks
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
1993
Highly Cited
1993
Some Extensions of the K-Means Algorithm for Image Segmentation and Pattern Classification
We present some extensions to the k-means algorithm for vector quantization that permit its efficient use in image segmentation… 
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