Density Based Clustering Algorithms

This JavaScript package provides implementations of popular cluster analysis algorithms, including DBSCAN (Density-Based Spatial Clustering of Applications with Noise), OPTICS (Ordering Points To Identify the Clustering Structure), and K-Means. Currently at version 1.3.0, the package appears to be in a maintenance state, primarily supporting CommonJS environments as indicated by its examples and `bower` installation instructions, which suggest it hasn't fully adopted modern ESM practices or aggressive development cycles. A key differentiator is its direct, unopinionated implementation of these core algorithms for data mining and statistical analysis. While DBSCAN and OPTICS are true density-based methods, K-Means is included for broader utility, though it's important to note it does not rely on density for clustering. The library focuses on providing these fundamental tools for data scientists and developers working with clustering tasks.