A Principal Component Analysis Algorithm Based on Dimension Reduction Window
نویسندگان
چکیده
منابع مشابه
Dimension Reduction by Local Principal Component Analysis
Reducing or eliminating statistical redundancy between the components of high-dimensional vector data enables a lower-dimensional representation without significant loss of information. Recognizing the limitations of principal component analysis (PCA), researchers in the statistics and neural network communities have developed nonlinear extensions of PCA. This article develops a local linear ap...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2875270