spectral_preprocessing: A MVDA Function
In angy89/MVDA_package: Multi-View Biological Data Analysis
Description
Usage
Arguments
Value
Description
This function execute spectral clustering on single view patient prorotypes
Usage
1
spectral_preprocessing(DB = NULL, nCenters = NULL, kernel_f = "rbfdot")
Arguments
DB
is your matrix dataset
nCenters
is the desidered number of cluster
kernel_f
is the kernel function used in computing the affinity matrix. Default value: rbfdot
Value
a list containing three field: specc.res is the spectral clustering results. clustering is the vector with clustering assignment. center is the matrix with center prototypes.
angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.
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Description Usage Arguments Value
Description
This function execute spectral clustering on single view patient prorotypes
Usage
1 | spectral_preprocessing(DB = NULL, nCenters = NULL, kernel_f = "rbfdot")
|
Arguments
DB |
is your matrix dataset |
nCenters |
is the desidered number of cluster |
kernel_f |
is the kernel function used in computing the affinity matrix. Default value: rbfdot |
Value
a list containing three field: specc.res is the spectral clustering results. clustering is the vector with clustering assignment. center is the matrix with center prototypes.
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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