113 search results - page 12 / 23 » Locally adaptive metrics for clustering high dimensional dat... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
IEEECIT
2005
IEEE
14 years 29 days ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
CCGRID
2003
IEEE
14 years 20 days ago
2003
IEEE
This paper addresses the query performance issue for Relational OLAP (ROLAP) datacubes. We present a distributed multi-dimensional ROLAP indexing scheme which is practical to imple...
SSDBM
2009
IEEE
14 years 2 months ago
2009
IEEE
High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
CGF
2010
13 years 4 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...