fkcentroids - Functional K-Centroids Clustering Using Phase and Amplitude Components
Cluster functional data using phase and amplitude components of each function. By weighting phase and amplitude variation differently, clustering results can be obtained from multiple perspectives. Routines for synchronization, functional k-means clustering, and functional k-medians clustering are provided.
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3.54 score 5 scripts 479 downloadsL1centrality - Graph/Network Analysis Based on L1 Centrality
Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2026a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2026b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
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graph-algorithmssocial-network-analysiscpp
3.40 score 9 scripts 312 downloadsrvMF - Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
Generates pseudo-random vectors that follow an arbitrary von Mises-Fisher distribution on a sphere. This method is fast and efficient when generating a large number of pseudo-random vectors. Functions to generate random variates and compute density for the distribution of an inner product between von Mises-Fisher random vector and its mean direction are also provided. Details are in Kang and Oh (2024) <doi:10.1007/s11222-024-10419-3>.
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random-samplingspherevon-mises-fishermpfr4cpp
3.00 score 1 stars 3 scripts 592 downloads