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Feature Relevance in Ward’s Hierarchical Clustering Using the Lp Norm
被引：0
作者：
Renato Cordeiro de Amorim
机构：
[1] Birkbeck University of London,Department of Computer Science and Information Systems
来源：
Journal of Classification
|
2015年
/
32卷
关键词：
Ward method;
Hierarchical clustering;
Feature weights;
Feature relevance;
L;
norm;
Minkowski metric.;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper we introduce a new hierarchical clustering algorithm called Wardp. Unlike the original Ward, Wardp generates feature weights, which can be seen as feature rescaling factors thanks to the use of the Lp norm. The feature weights are cluster dependent, allowing a feature to have different degrees of relevance at different clusters.
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页码：46 / 62
页数：16
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