Clustering Measures Which of the following could be valid measures of clustering? Pick the ones that will make sense more often than not. That is, choose only the ones that do not just apply under a few contrived settings. For this problem, think of clustering as a notion that captures how close a set of nodes are with respect to other nodes in the graph. Nodes with the same degree. Nodes with node identification values (node index) close to each other. Nodes with edges connecting each other more often than their edges connecting outside of them. Nodes that are "key" to the connectivity of the graph in the following sense: in the absence of them (along with their edges), the graph is no longer connected.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Plzz choose correct options. And explain
Clustering Measures
Which of the following could be valid measures of clustering? Pick the ones that will make sense more often than not. That
is, choose only the ones that do not just apply under a few contrived settings. For this problem, think of clustering as a
notion that captures how close a set of nodes are with respect to other nodes in the graph.
Nodes with the same degree.
Nodes with node identification values (node index) close to each other.
Nodes with edges connecting each other more often than their edges connecting outside of them.
Nodes that are "key" to the connectivity of the graph in the following sense: in the absence of them (along with their
edges), the graph is no longer connected.
Transcribed Image Text:Clustering Measures Which of the following could be valid measures of clustering? Pick the ones that will make sense more often than not. That is, choose only the ones that do not just apply under a few contrived settings. For this problem, think of clustering as a notion that captures how close a set of nodes are with respect to other nodes in the graph. Nodes with the same degree. Nodes with node identification values (node index) close to each other. Nodes with edges connecting each other more often than their edges connecting outside of them. Nodes that are "key" to the connectivity of the graph in the following sense: in the absence of them (along with their edges), the graph is no longer connected.
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