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K. Aparna
Incorporating stability and error-based constraints for a novel partitional clustering algorithm
" Data clustering is one of the major areas in data mining. The bisecting clustering algorithm is one of the most widely used for high dimensional dataset. But its performance degrades as the dimensionality increases. Also, the task of selection of a cluster for further bisection is a challenging one. To overcome these drawbacks, we developed a novel partitional clustering algorithm called a HB-K-Means algorithm (High dimensional Bisecting K-Means). In order to improve the performance of ... "
Depok: Faculty of Engineering, Universitas Indonesia, 2016
UI-IJTECH 7:4 (2016)
Artikel Jurnal  Universitas Indonesia Library