114 search results - page 3 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
139
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ICML
1995
IEEE
16 years 2 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...
150
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SDM
2004
SIAM
15 years 3 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 ...
115
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CIDM
2007
IEEE
15 years 8 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...
125
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SDM
2009
SIAM
15 years 11 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
15 years 7 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...