APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The most accurate clustering model is
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Agglomerative HC
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Divisive HC
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k-Means
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Depends on dataset
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Explanation:
Detailed explanation-1: -The quality of a clustering result depends on both the similarity measure used by the method and its implementation. The quality of a clustering method is also measured by its ability to discover some or all of the hidden patterns. There is a separate “quality” function that measures the “goodness” of a cluster.
Detailed explanation-2: -Computing accuracy for clustering can be done by reordering the rows (or columns) of the confusion matrix so that the sum of the diagonal values is maximal. The linear assignment problem can be solved in O(n3) instead of O(n!).
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