APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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True or False. The initial position of the clusters does not affect the final result of K-Means
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -12) Which one of the following statements about the K-means clustering is incorrect? Explanation: There is nothing to deal in between the k-means and the K-means the nearest neighbor.
Detailed explanation-2: -Formulating the algorithm in manual calculation using mathematics is also quite simple. However, behind its advantages, k-means has a limitation in its rule for choosing the cluster centroids. It is too sensitive to the initial cluster centroids-when we choose different initial values, the result will be different.
Detailed explanation-3: -Choosing adequate initial seeds affects both the speed and quality when using the Lloyd heuristic algorithm, an algorithm for solving K-means problem.
There is 1 question to complete.