109 search results - page 13 / 22 » Document clustering based on non-negative matrix factorizati... |
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
74
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SIBGRAPI
2005
IEEE
15 years 3 months ago
2005
IEEE
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
109
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SIGIR
2004
ACM
15 years 3 months ago
2004
ACM
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
101
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ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...