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Correlation Attributes with SVM
ok. i am implementation SVM for major in higher students school
for my case with two classification (IPA & IPS) with 17 attributes and two attributes prediction (IPA& IPS)
this is my example dataset :
A B C D E F G
0.1 0.2 0.3 9.0 8.0 7.0 IPA
my questions is :
1) how i can implementation min-max normalization with rapidminer ?
2). how i can find correlation attributes ? i have been tried using Correlation matrix but can unable pairwise attribute (example : attributes A & B correlation 0.7) I would expect to show 3 or more correlation attributes..
Please help me..
Thx u very much