1836 search results - page 3 / 368 » Mining Clustering Dimensions |
SBBD
2000
13 years 7 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
KDD
2005
ACM
14 years 6 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
KDD
1999
ACM
13 years 10 months ago
1999
ACM
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
ICDE
2000
IEEE
14 years 7 months ago
2000
IEEE
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...