R: Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices

# Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices

## Documentation for package ‘FuzzySpec’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

clustering.accuracy | Clustering Accuracy with Optimal Label Matching
compute.sigma | Compute Locally-Adaptive Scaling Parameters from a Distance Matrix
compute.SNN | Shared-Nearest-Neighbours (SNN) Similarity from a Similarity Matrix
fari | Frobenius Adjusted Rand Index for Comparing Two Partition Matrices
find.radius | Adaptive Radius Selection by Natural Neighbours
fuzzy.spectral.clustering | Fuzzy Spectral Clustering with Normalized Eigenvectors
gen.fuzzy | Generate 2D synthetic datasets with known fuzzy memberships
make.adjacency | A General Framework for Adjacency Matrix Construction
plot.fuzzy | Plot 2D Fuzzy Data with Optional Uncertainty Sizing and Cluster Colouring
rNN.dist | Compute r-Nearest Neighbours from a Distance Matrix