Feature selection for k-means clustering stability: theoretical analysis and an algorithm

Author： Mavroeidis Dimitrios Marchiori Elena

ISSN： 1384-5810

Source： Data Mining and Knowledge Discovery, Vol.28, Iss.4, 2014-07, pp. : 918-960

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Feature Selection of Interval Valued Data Through Interval K-Means Clustering

International Journal of Computer Vision and Image Processing (IJCVIP), Vol. 7, Iss. 2, 2017-04 ,pp. : 64-80

IGI Global_journal

Access to resources Recommend Favorite

Stability and model selection in k -means clustering

By Shamir Ohad

Machine Learning, Vol. 80, Iss. 2-3, 2010-09 ,pp. : 213-243

Springer Publishing Company

Access to resources Recommend Favorite

ABK-means: an algorithm for data clustering using ABC and K-means algorithm

By Krishnamoorthi M. Natarajan A.M.

International Journal of Computational Science and Engineering, Vol. 8, Iss. 4, 2013-10 ,pp. : 383-391

Inderscience Publishers

Access to resources Recommend Favorite

Improving K-means clustering algorithm with the intelligent water drops (IWD) algorithm

By Shah-Hosseini Hamed

International Journal of Data Mining, Modelling and Management, Vol. 5, Iss. 4, 2013-11 ,pp. : 301-317

Inderscience Publishers

Access to resources Recommend Favorite

Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values

By Huang Zhexue

Data Mining and Knowledge Discovery, Vol. 2, Iss. 3, 1998-09 ,pp. : 283-304

Springer Publishing Company

Access to resources Recommend Favorite