MONTE-CARLO COMPARISON OF 6 HIERARCHICAL-CLUSTERING METHODS ON RANDOM DATA

被引：29

作者：

JAIN, NC

INDRAYAN, A

GOEL, LR

机构：

[1] UNIV COLL MED SCI,NEW DELHI,INDIA

[2] MINIST PLANNING,CTR COMP,DEPT STAT,NEW DELHI,INDIA

[3] MEERUT UNIV,MEERUT 250001,UTTAR PRADESH,INDIA

来源：

PATTERN RECOGNITION | 1986年 / 19卷 / 01期

关键词：

D O I：

10.1016/0031-3203(86)90038-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：95 / 99

页数：5

共 19 条

[1]

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BEGOVICH, CL ;

KANE, VE .

PATTERN RECOGNITION, 1980, 12 (02) :51-62

[3]

CORMACK RM, 1971, J R STATIST SOC A, V134, P1

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DUBES, R ;

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PATTERN RECOGNITION, 1976, 8 (04) :247-260

[5] VALIDITY STUDIES IN CLUSTERING METHODOLOGIES [J].

DUBES, R ;

JAIN, AK .

PATTERN RECOGNITION, 1979, 11 (04) :235-254

[6]

Everitt B., 1980, CLUSTER ANAL

[7]

FISHER L, 1971, BIOMETRIKA, V58, P91, DOI 10.2307/2334320

[8] ON SOME INVARIANT CRITERIA FOR GROUPING DATA [J].

FRIEDMAN, HP ;

RUBIN, J .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1967, 62 (320) :1159-&

[9] APPROXIMATE EVALUATION TECHNIQUES FOR SINGLE-LINK AND COMPLETE-LINK HIERARCHICAL CLUSTERING PROCEDURES [J].

HUBERT, L .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1974, 69 (347) :698-704

[10]

KOPP B, 1978, Biometrical Journal, V20, P495, DOI 10.1002/bimj.4710200506

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