Method of probabilistic principle surfaces (PPS) (Chang and Ghosh 2001)


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Accession:53457
Principal curves and surfaces are nonlinear generalizations of principal components and subspaces, respectively. They can provide insightful summary of high-dimensional data not typically attainable by classical linear methods. See paper for more and details. The matlab code supplied at the authors website calculates probabilistic principle surfaces on benchmark data sets.
Reference:
1 . Chang KY, Ghosh J (2001) A Unified Model for Probabilistic Principal Surfaces IEEE Transactions on Pattern Analysis and Machine Intelligence 23:22-41
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB (web link to model);
Model Concept(s): Methods;
Implementer(s): Chang, Kuiyu [kuiyu.chang at pmail.ntu.edu.sg];
(located via links below)
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