Module linfa::clustering

Clustering algorithms for unlabeled data.

Structs

KMeans	K-means clustering aims to partition a set of unlabeled observations into clusters, where each observation belongs to the cluster with the nearest mean.
KMeansHyperParams	The set of hyperparameters that can be specified for the execution of the K-means algorithm.
KMeansHyperParamsBuilder	An helper struct used to construct a set of valid hyperparameters for the K-means algorithm (using the builder pattern).

Functions

generate_blob	Generate blob_size data points (a "blob") around blob_centroid.
generate_blobs	Given an input matrix blob_centroids, with shape (n_blobs, n_features), generate blob_size data points (a "blob") around each of the blob centroids.