estimate_ULBA: Upper And Lower Bound Approach

In SCOR: Spherically Constrained Optimization Routine

Upper And Lower Bound Approach

Description

'ULBA' is an another approach to Hyper Volume Under Manifold Problem

Usage

estimate_ULBA(beta, labels, x_mat)

Arguments

beta	The parameter we measure ULBA based on.
labels	The labels of the Columns of the data matrix.
x_mat	The Data Matrix

Value

Upper and Lower Bound Approach on empirical Hyper-volume Under Manifolds Estimate

Examples

estimate_ULBA(rep(1, 12), colnames(AL), AL)


estimate_ULBA(1:10 , sample(c( rep("lab1", 10), rep("lab2", 10), rep("lab3", 10))),
matrix(rnorm(300), nrow = 10))

SCOR documentation built on July 9, 2023, 6:39 p.m.