The majority vote rule for the k-nearest neighbours technique
can be swapped for a rule that instead takes the fraction of
nearest neighbours in each category. What does this fraction
give?
Group of answer choices
The value of k for the next iteration.
The new number of categories.
The new cluster centroid position.
The probability of belonging to each category.
The majority vote rule for the k-nearest neighbours technique can be swapped for a rule that instead takes the fraction
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answerhappygod
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The majority vote rule for the k-nearest neighbours technique can be swapped for a rule that instead takes the fraction
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