1301 search results - page 37 / 261 » Default Clustering from Sparse Data Sets |
SIAMCOMP
1998
13 years 8 months ago
1998
We describe a new randomized data structure, the sparse partition, for solving the dynamic closest-pair problem. Using this data structure the closest pair of a set of n points in ...
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
BMCBI
2011
13 years 3 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...