Hello, is there a method to calculate k means for a dataset but have some centers pre-defined? That is, I have the following random data and want to find k=3 centers, but 2 of the centers are already fixed at a given location. Does the functionality exist in JMP 14.2.0? Thanks!
Points:
| Label | X | Y |
| Point1 | 3 | 3 |
| Point2 | 4 | 4 |
| Point3 | 6 | 6 |
| Point4 | 50 | 30 |
| Point5 | 60 | 60 |
| Point6 | 70 | 90 |
| Point7 | 90 | 90 |
| Point8 | 99 | 99 |
| Point9 | 101 | 101 |
| Point10 | 102 | 102 |
Find 3rd cluster if these two centers are already defined:
| Label | X | Y |
| Centroid1 | 5 | 5 |
| Centroid2 | 100 | 100 |
The regular output alyzing the points works fine and optimizes the 3 clusters, but does not take into account the desired fixed clusters:
