9 releases (5 breaking)
0.7.0 | Oct 16, 2023 |
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0.6.1 | Dec 3, 2022 |
0.6.0 | Jun 15, 2022 |
0.5.1 | Mar 1, 2022 |
0.2.1 | Nov 29, 2020 |
#983 in Machine learning
164 downloads per month
265KB
5K
SLoC
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.
License
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.
Dependencies
~5.5MB
~99K SLoC