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Results tagged with large-data
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user 45199
'Large data' refers to situations where the number of observations (data points) is so large that it necessitates changes in the way the data analyst thinks about or conducts the analysis. (Not to be confused with 'high dimensionality'.)
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Using k-means for reducing the size of the training set of a Kernel SVM
I have a classification problem with the following characteristics:
a few million data points
around one hundred features
non-linearly separable
Training a SVM with an RBF Kernel is not feasible bec …
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