E_parallel: Euclidean distance
In chickn: 'Compressive' Hierarchical Kernel Clustering Toolbox
Description
Usage
Arguments
Details
Description
Euclidean distance
Usage
1
E_parallel(X, C, set_c)
Arguments
X
A Filebacked Big Matrix n \times N.
C
A Filebacked Big Matrix N \times l, which stores the Euclidean distances.
set_c
Column index vector. The data vector indices for which the Euclidean distances are computed.
Details
The Euclidean distances are computed between the data vectors from set_c and all columns of X.
chickn documentation built on Jan. 13, 2021, 10:53 p.m.
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Description Usage Arguments Details
Description
Euclidean distance
Usage
1 | E_parallel(X, C, set_c)
|
Arguments
X |
A Filebacked Big Matrix n \times N. |
C |
A Filebacked Big Matrix N \times l, which stores the Euclidean distances. |
set_c |
Column index vector. The data vector indices for which the Euclidean distances are computed. |
Details
The Euclidean distances are computed between the data vectors from set_c and all columns of X.
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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