Crate linfa_hierarchical[−][src]
Hierarchical Clustering
linfa-hierarchical
provides an implementation of agglomerative hierarchical clustering.
In this clustering algorithm, each point is first considered as a separate cluster. During each
step, two points are merged into new clusters, until a stopping criterion is reached. The distance
between the points is computed as the negative-log transform of the similarity kernel.
Documentation: latest.
The big picture
linfa-hierarchical
is a crate in the linfa
ecosystem,
a wider effort to bootstrap a toolkit for classical Machine Learning implemented in pure Rust,
akin in spirit to Python’s scikit-learn
.
Current state
linfa-hierarchical
implements agglomerative hierarchical clustering with support of the
kodama crate.
Structs
HierarchicalCluster | Agglomerative hierarchical clustering |
Enums
Method | A method for computing the dissimilarities between clusters. |