734 search results - page 24 / 147 » A New Indexing Method for High Dimensional Dataset |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
JASIS
2010
13 years 7 months ago
2010
Abstract – The method of latent semantic indexing (LSI) is well known for tackling the synonymy and polysemy problems in information retrieval. However, its performance can be ve...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
SDM
2012
SIAM
11 years 11 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 ...