Title :
A Kind of Spectral Clustering for Mixed Data
Author :
Gou Hongyun ; Zhou Yong
Author_Institution :
Sch. of CS, CUMT, Xuzhou, China
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;
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
DOI :
10.1109/IITAW.2009.118
