Showing 4 of 4 projects
A lean and fast C++ library for 3D point cloud data processing with efficient implementations of common operations.
A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.
A Ruby implementation of k-means clustering with k-means++ initialization, silhouette scoring, and multiple runs for optimal results.
A Torch package providing unsupervised learning modules and algorithms like autoencoders, PCA, and k-means.
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