In the k-Means clustering model, the table of average values for each attribute for all clusters is called a ______ table.

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Multiple Choice

In the k-Means clustering model, the table of average values for each attribute for all clusters is called a ______ table.

Explanation:
In k-means, each cluster is summarized by its center, which is the average of the data points assigned to that cluster across all attributes. This center is called a centroid. The collection of these centers—one per cluster—forms a table where each row represents a cluster and each column a feature, containing the mean values for that feature within that cluster. So the table of average values for all clusters is the centroid table, since centroids are defined as those per-cluster mean vectors. A generic term like profile or summary isn’t the standard label for these centers, and “mean” would refer to a single attribute’s average rather than the full set of attribute means for each cluster.

In k-means, each cluster is summarized by its center, which is the average of the data points assigned to that cluster across all attributes. This center is called a centroid. The collection of these centers—one per cluster—forms a table where each row represents a cluster and each column a feature, containing the mean values for that feature within that cluster. So the table of average values for all clusters is the centroid table, since centroids are defined as those per-cluster mean vectors. A generic term like profile or summary isn’t the standard label for these centers, and “mean” would refer to a single attribute’s average rather than the full set of attribute means for each cluster.

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