An EM-based technique for approximating long-tailed data sets with PH distributions

By Riska A.   Diev V.   Smirni E.  

Performance Evaluation, Vol. 55, Iss. 1, 2004-01 ,pp. : 147-164

Elsevier

Access to resources Recommend Favorite

Empirical comparison of fast partitioning-based clustering algorithms for large data sets

By Wei C.-P.   Lee Y.-H.   Hsu C.-M.  

Expert Systems with Applications, Vol. 24, Iss. 4, 2003-05 ,pp. : 351-363

Elsevier

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

Leaders-Subleaders: An efficient hierarchical clustering algorithm for large data sets

By Vijaya P.A.   Narasimha Murty M.   Subramanian D.K.  

Pattern Recognition Letters, Vol. 25, Iss. 4, 2004-03 ,pp. : 505-513

Elsevier

Access to resources Recommend Favorite

An adaptive rough fuzzy single pass algorithm for clustering large data sets

By Asharaf S.   Murty M.N.  

Pattern Recognition, Vol. 36, Iss. 12, 2003-12 ,pp. : 3015-3018

Elsevier

Access to resources Recommend Favorite