Data Groups Exhibit Dissimilar Characteristics (Heterogeneity) Within Cluster (Intra-Cluster) and Homogeneity
Data groups exhibit dissimilar characteristics (heterogeneity) within cluster (intra-cluster) and homogeneity or similarities between groups (inter-cluster).
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Q24: K-means clustering uses the mean value for
Q25: The k-means clustering method can be inefficient
Q26: In the _ method of linking individual
Q27: In the k-means clustering algorithm, what happens
Q28: In hierarchical clustering, approaches such as _
Q29: Distinguishing clusters from the larger population or
Q31: Segmenting a market using shared characteristics is
Q32: The Jaccard's coefficient approach of measuring similarity
Q33: The first step in the k-means clustering
Q34: In the Manhattan distance approach of measuring
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