Robust Principal Component Analysis based on Fuzzy Coded Data
نویسندگان
چکیده
منابع مشابه
Principal Component Analysis of symmetric fuzzy data
Principal Component Analysis (PCA) is a well-known tool often used for the exploratory analysis of a numerical data set. Here an extension of classical PCA is proposed, which deals with fuzzy data (in short PCAF), where the elementary datum cannot be recognized exactly by a speci2c number but by a center, two spread measures and a membership function. Speci2cally, two di3erent PCAF methods, ass...
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ژورنال
عنوان ژورنال: ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering
سال: 2017
ISSN: 1302-3160
DOI: 10.18038/aubtda.317765