COMPARATIVE STUDY OF FIVE LOCALLY SENSITIVE CLUSTERING TECHNIQUES.

被引：0

作者：

Kittler, Josef

机构：

来源：

| 1975年

关键词：

Pattern recognition systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is concerned with a comparative study of five locally sensitive clustering (mode separation) techniques. First, a brief review of the methods is given and their common features are discussed. The various mode separation techniques are then applied to an artificially generated data problem. The results are compared both in terms of the required computer time and storage and also by means of the appropriate index of pattern classification performance.

引用

页码：1 / 8