-
cuvs
RAPIDS vector search library
-
petal-clustering
A collection of clustering algorithms
-
ckmeans
Wang and Song's Ckmeans clustering algorithm
-
tether-lidar2d-consolidation
Tether Lidar2D Consolidator Agent, Rust edition
-
clustering
easy way to perform kmeans clustering on arbitrary data
-
rust_metrics
Incremental evaluation metrics for various machine learning pipelines
-
coreset
(streaming) clustering
-
abd-clam
Clustering, Learning and Approximation with Manifolds
-
ruvector-cluster
Distributed clustering and sharding for ruvector
-
kentro
A high-performance Rust implementation of K-Means clustering algorithms
-
galah
Microbial genome dereplicator
-
single-clustering
high-performance network clustering library implementing community detection algorithms like Louvain and Leiden. Features efficient graph representation, abstract grouping systems…
-
torsh-cluster
Unsupervised learning and clustering algorithms for ToRSh, powered by SciRS2
-
ltc-rs
Lifetime Clustering (LTC) algorithm
-
resume_smg
generate a resume of StaticMCP
-
kira-cdh
Single-binary, CLI-compatible replacement for CD-HIT utilities (cd-hit, cd-hit-est, cd-hit-2d, cd-hit-est-2d) in Rust
-
kmeans
Small and fast library for k-means clustering calculations
-
sklears-mixture
Gaussian mixture models
-
cuvs-sys
Low-level rust bindings to libcuvs
-
jawe-cuvs-iv
RAPIDS vector search library
-
jawe-cuvs-iii
RAPIDS vector search library
-
isONclust3
novel de novo clustering algorithm. isONclust3 is a tool for clustering either PacBio Iso-Seq reads, or Oxford Nanopore reads into clusters, where each cluster represents all reads that came from a gene family…
-
exact-clustering
Find optimal clusterings and optimal hierarchical clusterings
-
jetty
Jet clustering
-
affinityprop
Vectorized and Parallelized Affinity Propagation
-
flame-clustering
Fuzzy clustering by Local Approximation of MEmberships (FLAME)
-
threecrate-simplification
Mesh simplification and decimation algorithms for threecrate
-
rmqtt-plugins
Plugin collection for rmqtt, providing authentication, storage, bridges, clustering, and other extensions
-
larch
Hierarchical kmeans clustering seeding algorithm
-
klaster
Machine learning library providing modern clusterning algorithms for the Rust programming language
-
catclustering
Agglomerative Clustering For Categorical Data
-
jawe-cuvs-sys-ii
Low-level rust bindings to libcuvs
-
dbscan
Dependency free implementation of DBSCAN clustering
-
appr_dbscan_rust
approximated DBSCAN algorithm introduced by Gan and Tao
-
dahl-salso
SALSO algorithm is an efficient greedy search procedure to obtain a clustering estimate based on a partition loss function. The algorithm is implemented for many loss functions, including…
-
clustr
Multithreaded string clustering
-
jawe-cuvs-sys-iv
Low-level rust bindings to libcuvs
-
jawe-cuvs-sys-iii
Low-level rust bindings to libcuvs
-
meanshift-rs
Rust version of the MeanShift clustering algorithm that does not need a predefined number of clusters
-
rkm
A generic k-means implementation
-
kmeans_smid
Small and fast library for k-means clustering calculations. Fixing smid from
kmeans-rs. -
kmeans-color-gpu-preprocessor
A shader preprocessor, to replace #includes in shaders by appropriate files used for the kmeans-color-gpu crate
-
cogset
Generic implementations of clustering algorithms. Includes k-means, DBSCAN and OPTICS.
-
libribzip2
a bzip2 library written in pure rust
-
supercluster-rs
Supercluster for fast hierarchical point clustering
-
nmi
normalized mutual information
-
dei-clustering
Clustering analysis for DEI
-
grappes
Implements various clustering algorithms such as k-Means variants
-
chordclust
Sequence clustering
-
yotei
Distributed computing with abstract data
-
postrep
A clustering tool for PostgreSQL, based on Etcd
Try searching with DuckDuckGo.