TOP-DOWN HIERARCHICAL CLASSIFICATION METHOD.

被引：0
|
作者：
Hillion, Herve [1 ]
Proth, Jean-Marie [1 ]
机构：
[1] INRIA Lorraine, Vandoeuvre, Fr, INRIA Lorraine, Vandoeuvre, Fr
来源：
Applied Stochastic Models and Data Analysis | 1987年 / 3卷 / 04期
关键词：
PATTERN RECOGNITION;
D O I：
10.1002/asm.3150030406
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present an original top-down hierarchical classification algorithm. In our approach we associate to each decomposition a 'degree of separability' which is used to evaluate the efficiency of the decomposition. In particular, it shows whether or not the classes are well separated and also whether or not they are homogeneous. This algorithm can be applied to items defined by real and bounded numbers.
引用
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页码：247 / 255
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