298 search results - page 41 / 60 » Subspace Clustering of High Dimensional Data |
87
Voted
ICCS
2005
Springer
15 years 6 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
103
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EMMCVPR
2001
Springer
15 years 5 months ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
221
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ICDE
2004
IEEE
16 years 1 months ago
2004
IEEE
The effectiveness of many existing high-dimensional indexing structures is limited to specific types of queries and workloads. For example, while the Pyramid technique and the iMi...
127
Voted
BMCBI
2007
15 years 14 days ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
KDD
2003
ACM
16 years 26 days ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...