Summary: SpectralCAT: Categorical spectral clustering of numerical and nominal data
Gil David a,Ã, Amir Averbuch b
a
Department of Mathematics, Program in Applied Mathematics, Yale University, New Haven, CT 06510, USA
b
School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel
a r t i c l e i n f o
Article history:
Received 11 October 2010
Received in revised form
2 July 2011
Accepted 3 July 2011
Available online 18 July 2011
Keywords:
Spectral clustering
Diffusion Maps
Categorical data clustering
Dimensionality reduction
a b s t r a c t
Data clustering is a common technique for data analysis, which is used in many fields, including

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

Collections: Computer Technologies and Information Sciences