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Module 4: Cluster Analysis

20232m

Cluster is

(i) Group of similar objects that differ significantly from other objects
(ii) Operations on a database to transform or simplify data in order to prepare it for a machine learning algorithm
(iii) Symbolic representation of facts or ideas from which information can potentially be extracted
(iv) None of the above

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Answer: (i) Group of similar objects that differ significantly from other objects

A cluster is defined by intra-cluster similarity and inter-cluster dissimilarity: its members are alike with respect to the attributes of interest, while being distinctly different from objects belonging to other clusters. This is the standard working definition used in cluster analysis.

Option (ii) describes data preprocessing (transforming or simplifying data before learning), and option (iii) describes a knowledge or idea representation from which information is extracted — neither is a cluster. Since (i) is a correct definition, 'None of the above' is wrong as well.

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