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(aboazoz) #1


علما بان

Where fj is the j-th feature from a set ofFfeatures and the ci are the C principal components. The variance of the i-th PC is denoted by σ2(ci). The factor loading matrix L is a RCxF matrix with C columns and F rows.

The WALDI of a feature is a measure of its information content in terms of orthogonal variances in the data. This value is proportional to the expressiveness of a feature. However, it does not contain information about redundancies among different features. This information can be derived from the factor loading matrix.


(عبد العزيز غالب) #2

بامكانك استخدام الدالتين var , sum

وعمل فور لوب والامر بيمشى زي الفل

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