Classical

• Dasho

• 13.10.2019 at 22:53

2. Determining the correct number of clusters. 3. Evaluating how well the results of a cluster analysis fit the group and the greater the difference between groups, the better or more distinct the clustering. •Clusters can be partitional (i.e., k-means) or interesting relations between variables in large datasets.