Hierarchical Clustering Using One-Class Support Vector Machines

Hierarchical Clustering Using One-Class Support Vector Machines

This paper presents a novel hierarchical clustering method using support vector machines. A common approach for hierarchical clustering is to use distance for the task. However, different choices for computing inter-cluster distances often lead to fairly distinct clustering outcomes, causing interpr...

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Bibliographic Details
Main Author: Gyemin Lee
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Symmetry
Subjects:
hierarchical clustering
one-class support vector machines
dendrogram
spanning tree
Gaussian kernel
Online Access:http://www.mdpi.com/2073-8994/7/3/1164

Internet

http://www.mdpi.com/2073-8994/7/3/1164

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