Which term is described as the process of grouping data into clusters where items in the same group are similar and items in different groups are dissimilar?

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Multiple Choice

Which term is described as the process of grouping data into clusters where items in the same group are similar and items in different groups are dissimilar?

Explanation:
Clustering is the process of grouping data into clusters where items in the same cluster are similar and items in different clusters are dissimilar. The goal is to have high similarity within each cluster and clear separation between clusters, often using distance or similarity metrics to guide the grouping. This makes data clustering the broad term that describes organizing data into these homogeneous groups. Partitional clustering is a specific way to do clustering where the data are divided into non-overlapping clusters, but the overall activity described is still clustering. PCA, or principal component analysis, is about reducing the number of variables by projecting data onto principal components, not about forming groups. Orthogonality is a linear-algebra term describing perpendicular vectors, not a data grouping process.

Clustering is the process of grouping data into clusters where items in the same cluster are similar and items in different clusters are dissimilar. The goal is to have high similarity within each cluster and clear separation between clusters, often using distance or similarity metrics to guide the grouping. This makes data clustering the broad term that describes organizing data into these homogeneous groups.

Partitional clustering is a specific way to do clustering where the data are divided into non-overlapping clusters, but the overall activity described is still clustering. PCA, or principal component analysis, is about reducing the number of variables by projecting data onto principal components, not about forming groups. Orthogonality is a linear-algebra term describing perpendicular vectors, not a data grouping process.

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