543 search results - page 62 / 109 » Nonlinear principal component analysis of noisy data |
CSB
2003
IEEE
15 years 3 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
MICCAI
2009
Springer
15 years 11 months ago
2009
Springer
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
ISCC
2009
IEEE
15 years 4 months ago
2009
IEEE
In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. T...
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NIPS
2008
14 years 11 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
BMCBI
2010
14 years 9 months ago
2010
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...