W1_cl_centr: Parallel computation of the Wasserstein distances between...
In chickn: 'Compressive' Hierarchical Kernel Clustering Toolbox
Description
Usage
Arguments
Value
Description
Parallel computation of the Wasserstein distances between cluster centroid and points in the cluster
Usage
1
W1_cl_centr(X_cumsum, rowInd, colInd, C_cumsum)
Arguments
X_cumsum
is a Filebacked data cummulative sum matrix n x N
rowInd
is a vector of the row indeces
colInd
is a vector of the column indeces
C_cumsum
is a vector of the cummulative sum of the cluster centroid
Value
The vector of the Wasserstein distances
chickn documentation built on Jan. 13, 2021, 10:53 p.m.
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Description Usage Arguments Value
Description
Parallel computation of the Wasserstein distances between cluster centroid and points in the cluster
Usage
1 | W1_cl_centr(X_cumsum, rowInd, colInd, C_cumsum)
|
Arguments
X_cumsum |
is a Filebacked data cummulative sum matrix n x N |
rowInd |
is a vector of the row indeces |
colInd |
is a vector of the column indeces |
C_cumsum |
is a vector of the cummulative sum of the cluster centroid |
Value
The vector of the Wasserstein distances
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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