APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following can act as possible termination conditions in K-Means?
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For a fixed number of iterations.
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Assignment of observations to clusters does not change between iterations.
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Terminate when residual sum of squares falls below a threshold
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all the above
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Explanation:
Detailed explanation-1: -Which of the following can act as possible termination conditions in K-Means? For a fixed number of iterations. The assignment of observations to clusters does not change between iterations, except for cases with a bad local minimum.
Detailed explanation-2: -Q. Which of the following statements about the K-means algorithm are correct? The K-means algorithm is sensitive to outliers. For different initializations, the K-means algorithm will definitely give the same clustering results.
Detailed explanation-3: -Creating an input feature for cluster centroids as a continuous variable .
Detailed explanation-4: -Single-link. Complete-link. Average-link.
There is 1 question to complete.