DocumentCode
3545977
Title
A Kind of Spectral Clustering for Mixed Data
Author
Gou Hongyun ; Zhou Yong
Author_Institution
Sch. of CS, CUMT, Xuzhou, China
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
416
Lastpage
419
Abstract
We put forward a kind of spectral clustering for mixed data sets. The algorithm can process different kinds of attribute in mixed data sets, and then formed a comparability matrix. Based on the comparability matrix, we use the theory of spectral clustering to clustering the data sets. The experiment proves that this algorithm can cluster the data sets containing successive attribute and discrete attribute effectively.
Keywords
matrix algebra; pattern clustering; comparability matrix; mixed data set; spectral clustering; Clustering algorithms; Data analysis; Data mining; Euclidean distance; Humidity; Information technology; Spectral analysis; Statistical analysis; Symmetric matrices; Temperature; discrete; mixed data; spectral clustering; successive;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-6420-3
Electronic_ISBN
978-1-4244-6421-0
Type
conf
DOI
10.1109/IITAW.2009.118
Filename
5419595
Link To Document