Multivariate Image Analysis and Segmentation in Micro Analysis
Research Area: | Volume 1 Issue 2, March 2012 | Year: | 2012 |
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Type of Publication: | Article | Keywords: | Microanalysis, image segmentation, multivariate image analysis, dimensionality reduction, clustering |
Authors: |
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Journal: | IJEIR | Volume: | 1 |
Number: | 2 | Pages: | 147-151 |
Month: | March | ||
ISSN: | 2277-5668 | ||
Abstract: | Instruments for microanalysis are now able to
provide several images of the same specimen area. In this
paper, two groups of methods are described for handling
these multivariate maps. One group concerns dimensionality
reduction, i.e., the projection of N-dimensional data sets onto
a M-dimensional parameter space (Mxels are grouped into several classes
according to the different signals recorded. This can be done
by classical clustering methods (K-means, fuzzy Cmeans) or
by new methods which do not make hypotheses concerning
the shape of clusters in the parameter space. |
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