Cluster validity index based on Jeffrey divergence
نویسندگان
چکیده
منابع مشابه
Modified Dunn’s cluster validity index based on graph theory
Clustering methods serve as common tools for efficient data analysis in many fields of science. The essential, yet often neglected, step in the cluster analysis is validation of the clustering results. This paper presents a novel cluster validity index, which is the modification of the well-known Dunn’s index. Our proposal is based on its generalization considering the shortest paths between da...
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Clustering is one of the most well known types of unsupervised learning. Evaluating the quality of results and determining the number of clusters in data is an important issue. Most current validity indices only cover a subset of important aspects of clusters. Moreover, these indices are relevant only for data sets containing at least two clusters. In this paper, a new bounded index for cluster...
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Article history: Received 5 September 2012 Received in revised form 2 May 2014 Accepted 11 July 2014 Available online 17 July 2014 Determining the number of clusters is an important part of cluster validity that has been widely studied in cluster analysis. Sum-of-squares based indices show promising properties in terms of determining the number of clusters. However, knee point detection is ofte...
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ژورنال
عنوان ژورنال: Pattern Analysis and Applications
سال: 2015
ISSN: 1433-7541,1433-755X
DOI: 10.1007/s10044-015-0453-7