More effective algorithm for K-means clustering;

Research on segmenting color regions in textile printing image based on K-means clustering;

Collaborative filtering recommendation model based on effective dimension reduction and K-means clustering

The Warning Model of Melon Thrips Based on k-mean Clustering Combining Fuzzy Association Rules Algorithm

This paper describes the theory of phylogenetic profile,focuses on the amelioration of K-mean clustering algorithm in analyzing the gene phylogenetic profile,also compare with the traditional K-mean clustering algorithm.

This proposed medical image classify based on weighted complex network cluster after analyzing advantages and disadvantages of the traditional K-mean clustering algorithm and the new theory results achieved in the field of complex networks.

This paper adopted K-Means cluster to undertake spatio-temporal analysis of the number of tourists in Yancheng eco-tourism area for David s deer.

Aiming at the high risk of customer loan contract violation in bank enterprise,combining a characteristic analysis model in economics with K-MEANS cluster algorithm in data mining,this paper carries on customer credit rating by using existing customer materials,thus realizing the high quality management of customer information,reducing the risk of bank loans.