DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following is required by K-means clustering?
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Defined distance metric
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Number of clusters
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Initial guess as to cluster centroids
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All of the mentioned
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Explanation:
Detailed explanation-1: -4. Which of the following is required by K-means clustering? Explanation: K-means clustering follows partitioning approach.
Detailed explanation-2: -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: -D. Explanation: k-means requires a number of clusters.
Detailed explanation-4: -In K means clustering, k represents the total number of groups or clusters.
Detailed explanation-5: -K-means is extremely sensitive to cluster center initializations. 2. Bad initialization can lead to Poor convergence speed.
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