Hierarchical Clustering Algorithm Based on a New Measure

被引：0
作者：
Zhang Guofen [1 ]
Ye Jianjun [1 ]
机构：
[1] Zhejiang Univ, Dept Stat, Hangzhou 310027, Peoples R China
来源：
COMPREHENSIVE EVALUATION OF ECONOMY AND SOCIETY WITH STATISTICAL SCIENCE | 2009年
关键词：
Clustering; Measure; MVRHC; GAMMA-TEST;
D O I：
暂无
中图分类号：
F3 [农业经济];
学科分类号：
0202 ; 020205 ; 1203 ;
摘要：
The effectiveness of the new measure is proved through real data sets and the properties of the new measure are discussed. The hierarchical clustering algorithm (MVRHC) which based on the new measure is used in real data. The effectiveness of MVRHC is proved by comparing with other methods.
引用
收藏
页码：1026 / 1030
页数：5
相关论文
共 11 条
[1]  
Corchado J., 2000, Computing and Information Systems, V7, P29
[2]  
EISEN M, 1998, US, V95, P14863
[3]   A clustering algorithm based on graph connectivity [J].
Hartuv, E ;
Shamir, R .
INFORMATION PROCESSING LETTERS, 2000, 76 (4-6) :175-181
[4]  
HUANG Y, 2005, SAS STAT ANAL APPL
[5]  
LARSEN B, INT C KNOWL SAN DIEG, P16
[6]   GENERALIZED CLUSTERING NETWORKS AND KOHONEN SELF-ORGANIZING SCHEME [J].
PAL, NR ;
BEZDEK, JC ;
TSAO, ECK .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1993, 4 (04) :549-557
[7]   A note on the Gamma test [J].
Stefansson, A ;
Koncar, N ;
Jones, AJ .
NEURAL COMPUTING & APPLICATIONS, 1997, 5 (03) :131-133
[8]   The construction of smooth models using irregular embeddings determined by a gamma test analysis [J].
Tsui, APM ;
Jones, AJ ;
de Oliveira, AG .
NEURAL COMPUTING & APPLICATIONS, 2002, 10 (04) :318-329
[9]  
WANG CW, J ZHEJIANG IN PRESS
[10]   Survey of clustering algorithms [J].
Xu, R ;
Wunsch, D .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (03) :645-678
12