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Segmentation of High Dimensional Time-Series Data Using Mixture of Sparse Principal Component Regression Model with Information Complexity.
Yaojin Sun
Hamparsum Bozdogan
Published in:
Entropy (2020)
Keyphrases
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high dimensional
regression model
principal components
dimensionality reduction
low dimensional
regression analysis
group lasso
generalized linear models
feature space
principal component analysis
correlation coefficient
manifold learning
input space
multivariate data