Man pages for chickn
'Compressive' Hierarchical Kernel Clustering Toolbox

big_parallelizebig_parallelize
chicknchickn-package
CHICKN_W1Chromatogram Hierarchical Compressive K-means with Nystrom...
COMPRCompressive Orthogonal Matching Pursuit with Replacement
cumsum_Matcumsum_Mat
cumsum_parallelCumulative sum computation
cumsum_sugcumsum_sug
DB_funRDB_funR
DBindexDBindex
DBindex_BIGDBindex_BIG
DrawFreqDraw frequency vectors
E_parallelEuclidean distance
EstimSigmaData variance estimation
gamma_estimationKernel parameter estimation
GenerateFrequenciesFrequency vector construction
G_fun_cppG_fun_cpp
Gradient_cppGradient and objective function
Gradient_OMP_cppGradient OMP
hcc_parallelhcc_parallel
InterDistComputation of the Wasserstein distances between cluster...
IntraDistComputation of the Wasserstein distances between cluster...
Nystrom_kernelNystrom kernel approximation
ObjFun_OMP_cppObjective function
PreimagePreimage
RandIndexRandIndex
SketchSketch
split_foreachsplit_foreach
split_indexsplit_index
UPS2UPS2 dataset
W1_centr_centrParallel computation of the Wasserstein distances between...
W1_centr_centr_BIGParallel computation for big clusters of the Wasserstein...
W1_cl_centrParallel computation of the Wasserstein distances between...
W1_cl_centr_BIGW1_cl_centr_BIG
W1_parallelWasserstein-1 distance
chickn documentation built on Jan. 13, 2021, 10:53 p.m.