Efficient global clustering using the greedy elimination method

被引：2

作者：

Chan, ZSH ^{[1
]}

Kasabov, N ^{[1
]}

机构：

[1] Auckland Univ Technol, Knowledge Engn Discovery & Res Inst, Auckland, New Zealand

来源：

ELECTRONICS LETTERS | 2004年 / 40卷 / 25期

关键词：

D O I：

10.1049/el:20046785

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel global clustering method called the Greedy Elimination Method is presented. Experiments show that the proposed method scores significantly lower clustering errors than the standard K-means over two benchmark and two application datasets, and it is efficient for handling large datasets.

引用

页码：1611 / 1612

页数：2

共 4 条

[1]

Brodatz P, 1966, TEXTURES PHOTOGRAPHI

[2]

Likas A, 2003, PATTERN RECOGN, V36, P451, DOI 10.1016/S0031-3203(02)00060-2

[3] Genetic algorithm-based clustering technique [J].

Maulik, U ;

Bandyopadhyay, S .

PATTERN RECOGNITION, 2000, 33 (09) :1455-1465

[4] Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning [J].

Shipp, MA ;

Ross, KN ;

Tamayo, P ;

Weng, AP ;

Kutok, JL ;

Aguiar, RCT ;

Gaasenbeek, M ;

Angelo, M ;

Reich, M ;

Pinkus, GS ;

Ray, TS ;

Koval, MA ;

Last, KW ;

Norton, A ;

Lister, TA ;

Mesirov, J ;

Neuberg, DS ;

Lander, ES ;

Aster, JC ;

Golub, TR .

NATURE MEDICINE, 2002, 8 (01) :68-74

← 1 →