434 search results - page 58 / 87 » Dimensionality Reduction of Clustered Data Sets |
117
Voted
WWW
2008
ACM
16 years 2 months ago
2008
ACM
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
105
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
106
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NAACL
2004
15 years 2 months ago
2004
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
106
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SIGIR
2004
ACM
15 years 7 months ago
2004
ACM
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
121
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NIPS
2007
15 years 3 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...