421 search results - page 23 / 85 » A divide-and-merge methodology for clustering |
IPM
2006
14 years 10 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
NIPS
2003
14 years 11 months ago
2003
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
TCAD
2002
14 years 9 months ago
2002
Specialized clustered very large instruction word (VLIW) processors combined with effective compilation techniques enable aggressive exploitation of the high instruction-level para...
116
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CGF
2010
14 years 6 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
116
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ICML
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...