298 search results - page 40 / 60 » Subspace Clustering of High Dimensional Data |
85
Voted
IDEAL
2003
Springer
15 years 5 months ago
2003
Springer
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
111
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BMCBI
2006
15 years 15 days ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
91
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IEEECIT
2005
IEEE
15 years 6 months ago
2005
IEEE
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
93
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LWA
2007
15 years 1 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
127
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WOB
2004
15 years 1 months ago
2004
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...