114 search results - page 3 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
ICML
1995
IEEE
14 years 6 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
SIBGRAPI
2005
IEEE
13 years 11 months ago
2005
IEEE
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...