• GOALS OF PCA
• The goals of PCA are to
• extract the most important information from the data table;
• compress the size of the data set by keeping only this important
information;
• simplify the description of the data set; and
• analyze the structure of the observations and the variables.
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PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
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PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .
PCA-solved problems.pptx helpful for ml .

PCA-solved problems.pptx helpful for ml .

  • 2.
    • GOALS OFPCA • The goals of PCA are to • extract the most important information from the data table; • compress the size of the data set by keeping only this important information; • simplify the description of the data set; and • analyze the structure of the observations and the variables.