Package: neurocluster Type: Package Title: Spatially Constrained Clustering for Neuroimaging Data Version: 0.1.0.9000 Authors@R: person(given = "Bradley", family = "Buchsbaum", role = c("aut", "cre"), email = "brad.buchsbaum@gmail.com") Description: Provides multiple algorithms for spatially constrained clustering of 3D and 4D neuroimaging data. Methods include supervoxels, SNIC (Simple Non-Iterative Clustering), SLIC (Simple Linear Iterative Clustering), slice-based minimum spanning forest, FLASH-3D with DCT compression, and adaptive correlation superclustering (ACSC). All methods balance feature similarity and spatial proximity to produce coherent brain parcellations. A unified 'cluster4d' interface standardizes access to all algorithms. License: GPL (>= 3) URL: https://bbuchsbaum.github.io/neurocluster/, https://github.com/bbuchsbaum/neurocluster BugReports: https://github.com/bbuchsbaum/neurocluster/issues Encoding: UTF-8 Depends: R (>= 4.1) Imports: Rcpp (>= 0.11.3), RcppParallel, Matrix, FNN, RANN, assertthat, clue, igraph, adjoin, neuroim2, purrr, future, future.apply, furrr, methods, eigencore (>= 1.0.3) LinkingTo: Rcpp, RcppParallel, RcppArmadillo RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) Suggests: testthat, knitr, rmarkdown, pkgdown, ggplot2, rsvd, neurosurf, irlba, robustbase, mclust, albersdown, processx VignetteBuilder: knitr Remotes: bbuchsbaum/neurosurf Config/Needs/website: albersdown Config/pak/sysreqs: cmake libglpk-dev libicu-dev libxml2-dev zlib1g-dev Repository: https://bbuchsbaum.r-universe.dev Date/Publication: 2026-10-16 15:55:08 UTC RemoteUrl: https://github.com/bbuchsbaum/neurocluster RemoteRef: HEAD RemoteSha: 8b03000e14518f9cc21a874c995d2fbd3ba305f3 NeedsCompilation: yes Packaged: 2026-10-16 17:38:47 UTC; root Author: Bradley Buchsbaum [aut, cre] Maintainer: Bradley Buchsbaum