pub type FaissClustering = FaissClustering_H;Expand description
clustering based on assignment - centroid update iterations
The clustering is based on an Index object that assigns training points to the centroids. Therefore, at each iteration the centroids are added to the index.
On output, the centroids table is set to the latest version of the centroids and they are also added to the index. If the centroids table it is not empty on input, it is also used for initialization.
To do several clusterings, just call train() several times on different training sets, clearing the centroid table in between.
Aliased Typeยง
pub struct FaissClustering { /* private fields */ }