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gagolews
genieclust:Fast and Robust Hierarchical Clustering with Noise Points Detection
A retake on the Genie algorithm (Gagolewski, 2021 <DOI:10.1016/j.softx.2021.100722>), which is a robust hierarchical clustering method (Gagolewski, Bartoszuk, Cena, 2016 <DOI:10.1016/j.ins.2016.05.003>). It is now faster and more memory efficient; determining the whole cluster hierarchy for datasets of 10M points in low dimensional Euclidean spaces or 100K points in high-dimensional ones takes only a minute or so. Allows clustering with respect to mutual reachability distances so that it can act as a noise point detector or a robustified version of 'HDBSCAN*' (that is able to detect a predefined number of clusters and hence it does not dependent on the somewhat fragile 'eps' parameter). The package also features an implementation of inequality indices (e.g., Gini and Bonferroni), external cluster validity measures (e.g., the normalised clustering accuracy, the adjusted Rand index, the Fowlkes-Mallows index, and normalised mutual information), and internal cluster validity indices (e.g., the Calinski-Harabasz, Davies-Bouldin, Ball-Hall, Silhouette, and generalised Dunn indices). See also the 'Python' version of 'genieclust' available on 'PyPI', which supports sparse data, more metrics, and even larger datasets.
Maintained by Marek Gagolewski. Last updated 12 days ago.
cluster-analysisclusteringclustering-algorithmdata-analysisdata-miningdata-sciencegeniehdbscanhierarchical-clusteringhierarchical-clustering-algorithmmachine-learningmachine-learning-algorithmsmlpacknmslibpythonpython3sparsecppopenmp
61 stars 7.33 score 13 scripts 5 dependents
eddelbuettel
naarma:Connect nanoarrow with (Rcpp)Armadillo
The nanoarrow package offers C-level functionality to work with Arrow object, along with a small amount of C++ integration. This package uses it to interact with Armadillo objects. Some auxiliary testing facility from the nanoarrow package is included here as well.
Maintained by Dirk Eddelbuettel. Last updated 3 months ago.
2.00 score 4 scripts