Title of article :
SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index
Author/Authors :
Ibai Gurrutxaga، نويسنده , , Ibai and Albisua، نويسنده , , Iٌaki and Arbelaitz، نويسنده , , Olatz and Martيn، نويسنده , , José I. and Muguerza، نويسنده , , Javier and Pérez، نويسنده , , Jesْs M. and Perona، نويسنده , , Iٌigo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
10
From page :
3364
To page :
3373
Abstract :
Hierarchical clustering algorithms provide a set of nested partitions called a cluster hierarchy. Since the hierarchy is usually too complex it is reduced to a single partition by using cluster validity indices. We show that the classical method is often not useful and we propose SEP, a new method that efficiently searches in an extended partition set. Furthermore, we propose a new cluster validity index, COP, since many of the commonly used indices cannot be used with SEP. Experiments performed with 80 synthetic and 7 real datasets confirm that SEP/COP is superior to the method currently used and furthermore, it is less sensitive to noise.
Keywords :
Cluster validity index , Hierarchical clustering , Post-Processing
Journal title :
PATTERN RECOGNITION
Serial Year :
2010
Journal title :
PATTERN RECOGNITION
Record number :
1733744
Link To Document :
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