459 search results - page 10 / 92 » A general model for clustering binary data |
ICDM
2003
IEEE
14 years 28 days ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
OSDI
2008
ACM
13 years 10 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
ISBI
2007
IEEE
14 years 1 months ago
2007
IEEE
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
TSE
2002
13 years 7 months ago
2002
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...