165 search results - page 21 / 33 » Adaptive dimension reduction for clustering high dimensional... |
ICCSA
2005
Springer
15 years 5 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
111
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AMDO
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
111
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NIPS
2004
15 years 1 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
APBC
2004
15 years 1 months ago
2004
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
100
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ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...