239 search results - page 27 / 48 » Document clustering using nonnegative matrix factorization |
LREC
2008
13 years 10 months ago
2008
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
ISCAS
2008
IEEE
14 years 3 months ago
2008
IEEE
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
EWCBR
2008
Springer
13 years 10 months ago
2008
Springer
After fifteen years of CBR conferences, this paper sets out to examine the themes that have evolved in CBR research as revealed by the implicit and explicit relationships between t...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...