434 search results - page 13 / 87 » Dimensionality Reduction of Clustered Data Sets |
CIKM
2000
Springer
14 years 28 days ago
2000
Springer
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
APVIS
2010
13 years 6 months ago
2010
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...