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HIERARCHICAL AGGLOMERATIVE CLUSTERING PROCEDURE
被引：67
作者：
LUKASOVA, A
机构：
[1] Biometric Laboratory, Department of Mathematics and Descriptive Geometry, Mining University, Ostrava
关键词：
Classification;
Cluster analysis;
Dissimilarity coefficient;
Hierarchical clustering;
Similarity tree;
D O I：
10.1016/0031-3203(79)90049-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
In this paper the hierarchical agglomerative clustering procedure with the dissimilarity coefficient D [HACP, D] and the definite hierarchical clustering procedure [DHACP, D] including some of the published hierarchical clustering methods are introduced. The formal definitions of both of them are given, by means of which the properties of these procedures can be investigated. An example of applying the procedure concerns the classification in paleobiology. © 1979.
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页码：365 / 381
页数：17
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