766 search results - page 52 / 154 » Clustering high dimensional data using subspace and projecte... |
CIKM
2006
Springer
14 years 13 days ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
CSDA
2006
13 years 8 months ago
2006
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
PAKDD
2001
ACM
14 years 1 months ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
JDCTA
2010
13 years 3 months ago
2010
Direct 3D volume segmentation is one of the difficult and hot research fields in 3D medical data field processing. Using the clustering and analyzing techniques of data mining, a ...