Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
- [competitivenetworkclustering.Rar] - neural network competition in the networ
- [MolgedeyandSchouster] - The Molgedey and Schuster decorrelation
- [DynamicSkin] - a Eurocargo source. Yes VB version, but
- [FastICA25] - fast algorithm, the blind source separat
- [AIC] - criteria for the AIC source estimates Ma
- [matlabfenlei] - using Matlab is prepared by the Image Re
- [ClassificationA] - Neural network-based remote sensing imag
- [AIC] - AIC relevant statutory bands Dongdong, e
- [LSA] - Semantic Analysis for Text of Latent Sem
- [pLSA] - IpLSA (Probability Latent Semantic Analy
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