MACHINE LEARNING
MACHINE LEARNING AND APPLICATIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Starting from own cluster and moving towards a single cluster is termed as
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Agglomerative clustering
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Divisive clustering
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K-means
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K-mediods
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Explanation:
Detailed explanation-1: -Hierarchical clustering types Agglomerative: Initially, each object is considered to be its own cluster. According to a particular procedure, the clusters are then merged step by step until a single cluster remains. At the end of the cluster merging process, a cluster containing all the elements will be formed.
Detailed explanation-2: -Agglomerative clustering: It’s also known as AGNES (Agglomerative Nesting). It works in a bottom-up manner. Divisive hierarchical clustering: It’s also known as DIANA (Divise Analysis) and it works in a top-down manner.
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