16 search results - page 1 / 4 » Finding Clusters in subspaces of very large, multi-dimension... |
ICDE
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
IEEEVAST
2010
13 years 1 months ago
2010
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
KDD
2000
ACM
13 years 10 months ago
2000
ACM
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
SIGMOD
1996
ACM
13 years 11 months ago
1996
ACM
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
SIGMOD
2000
ACM
13 years 11 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...