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Inf in rankfeatures functuin results
Good evening. I have a question about rankfeatures function: if I find in my results an Inf value, should I treat it as a ve...
13 years 前 | 0 个回答 | 0
0
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Machine learning and data normalization - how data should(?) be normalized.
Hello, I have a general question about data normalization for classification algorithms: if I have a training set and a testing...
13 years 前 | 2 个回答 | 0
2
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How to make matrix a possitive definite
Hi Everyone, I have a problem with classification. I have 39 samples of training data (39x10935) and 347 samples of testing da...
14 years 前 | 3 个回答 | 0
3
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Standarization before feature selection
Hi Everyone, I have a general question: Is it necessary to standarize (e.g. zscore) the data before feature selection? And if ...
14 years 前 | 1 个回答 | 0
1
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PCA: number of attributes much bigger than number of data samples
Hello, I would like to apply PCA analysis to data in which I have 100 samples, each of them represented by 10000 variables. So...
14 years 前 | 2 个回答 | 0
