We will perform cluster analysis for the mean temperatures of US cities over a 3-year-period.
The starting point is a hierarchical cluster analysis with randomly selected data in order to find the best method for clustering. K-means analysis, a quick cluster method, is then performed on the entire original dataset.
Minimum Origin Version Required: Updated Origin 2020
User can also select the output destination of Cluster Membership column, such as next to input data, for further operation if needed