DocumentCode
588864
Title
Class Assignment Algorithms for Performance Measure of Clustering Algorithms
Author
Jie Zhang ; Xingsi Xue ; Yuping Wang
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´an, China
fYear
2012
fDate
17-18 Nov. 2012
Firstpage
103
Lastpage
106
Abstract
To measure the performance or validity of clustering algorithms, several evaluation values, such as successful rate, successful number and full successful rate are defined. In order to ensure each cluster to at least contain one vector data, and to maximize several proposed evaluation values, two class assignment algorithms are designed. To testify their performance, we employ them to the k-means clustering algorithms.
Keywords
data mining; pattern clustering; class assignment algorithms; data mining; k-means clustering algorithms; performance measure; successful number; successful rate; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Indexes; Partitioning algorithms; Tin; Vectors; class assignment; clustering algorithms; performance measure; successful number; successful rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-4725-9
Type
conf
DOI
10.1109/CIS.2012.31
Filename
6405876
Link To Document