spectral_sv: A MVDA Function

Description Usage Arguments Value

Description

This function execute spectral clustering on single view patient prorotypes

Usage

1
spectral_sv(nCenters, prototype, kernel_function = "rbfdot")

Arguments

nCenters

is the number of cluster we want to obtain

prototype

is the matrix of prototype we want to cluster

kernel_function

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.