Ditemukan 1 dokumen yang sesuai dengan query
K. Aparna
"
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 this algorithm, we incorporate ...
"
2016
J-Pdf
Artikel Jurnal Universitas Indonesia Library
