100 search results - page 5 / 20 » A Framework for Projected Clustering of High Dimensional Dat... |
BIOINFORMATICS
2006
13 years 5 months ago
2006
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on r...
WISE
2002
Springer
13 years 10 months ago
2002
Springer
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
DEXA
2006
Springer
13 years 9 months ago
2006
Springer
Streaming applications, such as environment monitoring and vehicle location tracking require handling high volumes of continuously arriving data and sudden fluctuations in these vo...
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
PAKDD
2009
ACM
14 years 16 days ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...