Man pages for neurodata/knorR
A Parallel Clustering Non-Uniform Memory Access ('NUMA') Optimized Library

FuzzyCMeansPerform Fuzzy C-means clustering on a data matrix. A soft...
HmeansPerform parallel hierarchical clustering on a data matrix.
KmeansPerform k-means clustering on a data matrix.
KmeansPPPerform the k-means++ clustering algorithm on a data matrix.
KmedoidsPerform k-medoids clustering on a data matrix. After...
MiniBatchKmeansA randomized dataset sub-sample algorithm that approximates...
SkmeansPerform spherical k-means clustering on a data matrix....
test_centroidsA small example of centroids of dim: (8,5) used as for...
test_dataA small dataset of dim: (50,5) used as for micro-benchmarks...
XmeansPerform a parallel hierarchical clustering using the x-means...
neurodata/knorR documentation built on May 25, 2019, 10:35 p.m.