5046 search results - page 9 / 1010 » Non-redundant data clustering |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
IJKDB
2010
14 years 6 months ago
2010
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
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ICANN
2009
Springer
14 years 7 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...