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عمومی::
تحلیل مؤلفههای اصلی
Principal Component Analysis 105
PCA Summary 108
Dimensionality reduction through principal component analysis (PCA) Clustering through k-means clustering
PRINCIPAL COMPONENT ANALYSIS
Principal component analysis (PCA) is a dimensionality reduction method invented in 1901,5 long before the terms data scientist and machine learning became part of business terminology.
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