Probabilistic Latent Semantic Analysis for Multichannel Biomedical Signal Clustering.

IEEE Signal Processing Letters(2016)

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摘要
This letter extends probabilistic latent semantic analysis (pLSA) for multichannel biomedical signal clustering. The proposed multichannel pLSA (M-pLSA) models a multichannel signal as a generative process of local segments. It directly represents a biomedical signal as a mixture of latent topics based on the assumption that local segments extracted from each channel are conditionally independent ...
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关键词
Biological system modeling,Dictionaries,Time series analysis,Discrete wavelet transforms,Robustness,Clustering methods,Clustering algorithms
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