| Issue | #Downvotes for this reason | By |
|---|
| W | weka.SimpleKMeans_EuclideanDistance(1) | Full name of clusterer. (default: weka.clusterers.SimpleKMeans) |
| A | Distance function to use. (default: weka.core.EuclideanDistance) | |
| D | If set, classifier is run in debug mode and may output additional info to the console | |
| I | Maximum number of iterations. | |
| M | Don't replace missing values with mean/mode. | |
| N | number of clusters. (default 2). | |
| O | Preserve order of instances. | |
| P | Initialize using the k-means++ method. | |
| S | Random number seed. (default 10) | |
| V | Display std. deviations for centroids. | |
| W | Full name of clusterer. (default: weka.clusterers.SimpleKMeans) | default: weka.clusterers.SimpleKMeans |
| fast | Enables faster distance calculations, using cut-off values. Disables the calculation/output of squared errors/distances. | |
| num-slots | Number of execution slots. (default 1 - i.e. no parallelism) |