1301 search results - page 27 / 261 » Default Clustering from Sparse Data Sets |
ASUNAM
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
ICDE
2010
IEEE
15 years 11 months ago
2010
IEEE
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
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BMCBI
2006
14 years 12 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
AIRS
2006
Springer
15 years 3 months ago
2006
Springer
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...