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Probabilistic latent semantic analysis for multichannel biomedical signal clustering
Wang, Jin She, Mary
Wang, Jin
She, Mary
Abstract
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 given the topics. The categories of biomedical signals are automatically discovered in an unsupervised way. Experimental results demonstrate that the proposed M-pLSA model outperforms previous state-of-the-art methods and is robust to noise contamination.
Keywords
biological system modeling, dictionaries, time series analysis, discrete wavelet transforms, robustness, clustering methods, clustering algorithms
Date
2016
Type
Journal article
Journal
IEEE Signal Processing Letters
Book
Volume
23
Issue
12
Page Range
1821-1824
Article Number
ACU Department
Non-faculty
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled