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Constructing Adjacency Matrices Based on Spatial and Feature Similarity

Constructs sparse adjacency matrices from spatial coordinates, feature measurements, class labels, and temporal indices. Supports nearest-neighbor graphs, heat-kernel weights, graph Laplacians, diffusion operators, and bilateral smoothers for graph-based data analysis, following spectral graph methods in von Luxburg (2007) <doi:10.1007/s11222-007-9033-z>, diffusion maps in Coifman and Lafon (2006) <doi:10.1016/j.acha.2006.04.006>, and bilateral filtering in Tomasi and Manduchi (1998) <doi:10.1109/ICCV.1998.710815>.

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VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 adjoin_0.1.0.tar.gz 768.7 KiB
0.1.0 rolling linux/noble R-4.5 adjoin_0.1.0.tar.gz 770.4 KiB
0.1.0 rolling source/ R- adjoin_0.1.0.tar.gz 505.6 KiB
0.1.0 latest linux/jammy R-4.5 adjoin_0.1.0.tar.gz 768.7 KiB
0.1.0 latest linux/noble R-4.5 adjoin_0.1.0.tar.gz 770.4 KiB
0.1.0 latest source/ R- adjoin_0.1.0.tar.gz 505.6 KiB
0.1.0 2026-04-26 source/ R- adjoin_0.1.0.tar.gz 505.6 KiB
0.1.0 2026-04-23 source/ R- adjoin_0.1.0.tar.gz 505.6 KiB

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