K Means Stata. K means clustering means that you start from pre defined clusters. When the num ber of clusters is unknown several k means solutions with different numbers of groups k.
One of the more commonly used partition clustering methods is called kmeans cluster analysis. To obtain the 3 group k means cluster solution then observations 101 103 would contain the 3 group means. Segments specifies that k nearly equal partitions be formed from the data.
The data object on which to perform clustering is declared in x.
Approximately the first n k observations are assigned to the first group the second n k observations are assigned to the second group and so on. Segments specifies that k nearly equal partitions be formed from the data. Approximately the first n k observations are assigned to the first group the second n k observations are assigned to the second group and so on. One of the more commonly used partition clustering methods is called kmeans cluster analysis.
