COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Low inter-cluster distance and low intra-cluster distance
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Low inter-cluster distance and high intra-cluster distance
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High inter-cluster distance and low intra-cluster distance
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High inter-cluster distance and high intra-cluster distance
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Detailed explanation-1: -A good clustering method will produce high quality clusters in which: – the intra-class (that is, intra intra-cluster) similarity is high. – the inter-class similarity is low. • The quality of a clustering result also depends on both the similarity measure used by the method and its implementation.
Detailed explanation-2: -What are the characteristics of a good cluster analysis? A good clustering method will produce high-quality clusters, which means there is high similarity between observations in a single cluster and low similarity between observations in different clusters.
Detailed explanation-3: -Intra-cluster distance is the distance between a data item and the cluster centroid within a cluster. Inter-cluster distance is the distance between the data items in distinct clusters.
Detailed explanation-4: -What Is Good Clustering? 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.