1836 search results - page 8 / 368 » Mining Clustering Dimensions |
ECML
2005
Springer
13 years 9 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
PKDD
2005
Springer
14 years 25 days ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
SDM
2004
SIAM
13 years 8 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...