A subspace type incremental two-dimensional principal component analysis algorithm

Principal component analysis (PCA) has been a powerful tool for high-dimensional data analysis. It is usually redesigned to the incremental PCA algorithm for processing streaming data. In this paper, we propose a subspace type incremental two-dimensional PCA algorithm (SI2DPCA) derived from an incre...

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Bibliographic Details
Main Authors: Xiaowei Zhang, Zhongming Teng
Format: Article
Language:English
Published: SAGE Publishing 2020-11-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748302620973531