Tree-structured multi-stage principal component analysis (TMPCA): Theory and applications.

Expert Systems with Applications(2019)

Cited 26|Views41
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Abstract
•An efficient dimension reduction method for sequence embedding.•The proposal maintains high mutual information between its input and output•Mathematical analysis of the proposal’s complexity, linearity, and orthonormality.•Superior performance as compared to the state-of-the-art neural-network-based approaches
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Key words
Dimension reduction,Principal component analysis,Mutual information,Text classification,Embedding,Neural networks
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