compression:kMeans clustering
Version: 0.0.0
Description
Apply kMeans clustering to group data depending on the data's non-linearity.
Inputs
| Input | Name | Expected type(s) | Description |
|---|---|---|---|
| Pin 0 | clusters_number | int32 | number of the clusters (dafault is 3) |
| Pin 1 | formula | string | formula ('dist'/'dotprod'), default is 'dist' |
| Pin 2 Required | fields_container | fields_container | an iunput fields container containing the data which will be used for the clustering |
| Pin 3 | component_number | int32 | component number as an int (default is 0), ex '0' for X-displacement, '1' for Y-displacement,... |
Outputs
| Output | Name | Expected type(s) | Description |
|---|---|---|---|
| Pin 0 | scoping_clusters | scopings_container | Scopings container with the space scoping (entities' ids) corresponding to each of k-clusters |
Configurations
| Name | Expected type(s) | Default value | Description |
|---|---|---|---|
| mutex | bool | false | If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads. |
Scripting
Category: compression
Plugin: core
Scripting name: kmeans_clustering
Full name: compression.kmeans_clustering
Internal name: kmeans_operator
License: any_dpf_supported_increments
Changelog
- Version 0.0.0: Initial release.