# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "neurocluster" in publications use:' type: software license: GPL-3.0-or-later title: 'neurocluster: Spatially Constrained Clustering for Neuroimaging Data' version: 0.1.0.9000 doi: 10.32614/CRAN.package.neurocluster abstract: 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. authors: - family-names: Buchsbaum given-names: Bradley email: brad.buchsbaum@gmail.com repository: https://bbuchsbaum.r-universe.dev repository-code: https://github.com/bbuchsbaum/neurocluster commit: 8b03000e14518f9cc21a874c995d2fbd3ba305f3 url: https://bbuchsbaum.github.io/neurocluster/ date-released: '2026-10-16' contact: - family-names: Buchsbaum given-names: Bradley email: brad.buchsbaum@gmail.com