COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Yes
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No
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Maybe
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Lil uzi vert
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Detailed explanation-1: -Clustering is an unsupervised learning approach in which there are no predefined classes. The basic aim of clustering is to group the related entities in a way that the entities within a group are alike to each other but the groups are dissimilar from each other.
Detailed explanation-2: -Hierarchical clustering does not require you to pre-specify the number of clusters, the way that k-means does, but you do select a number of clusters from your output.
Detailed explanation-3: -K-means is one of the most widely used unsupervised clustering methods. The algorithm clusters the data at hand by trying to separate samples into K groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares. This algorithm requires the number of clusters to be specified.
Detailed explanation-4: -All Answers (11) Generally speaking-YES, it is good approach.
Detailed explanation-5: -Explanation: K-means requires a number of clusters.