434 search results - page 33 / 87 » Dimensionality Reduction of Clustered Data Sets |
145
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TKDE
2011
14 years 8 months ago
2011
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
127
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ISVC
2010
Springer
15 years 16 hour ago
2010
Springer
Abstract. We present a framework for combining automated and interactive visual analysis techniques for use on high-resolution biomechanical data. Analyzing the complex 3D motion o...
109
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
128
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BMCBI
2006
15 years 1 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
120
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...