138 search results - page 9 / 28 » Information Theoretic Clustering of Sparse Co-Occurrence Dat... |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
ACMSE
2010
ACM
13 years 5 months ago
2010
ACM
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
SIGIR
2003
ACM
14 years 27 days ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
JMLR
2011
13 years 2 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
ER
2004
Springer
14 years 1 months ago
2004
Springer
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...