894 search results - page 49 / 179 » Learning to cluster using local neighborhood structure |
NIPS
2007
14 years 11 months ago
2007
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
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ISNN
2011
Springer
14 years 20 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...