data_31: Creates three gaussian clusters with replacement outliers

In Mufabo/ICASSP20.T6.R: ICASSP20.T6.R

Description

Creates three gaussian clusters with replacement outliers

Usage

data_31(N_k, epsilon)

Arguments

N_k	int. Number of samples in each cluster.
epsilon	scalar. Percentage of outliers

Value

list

1. data matrxi[3*N_k, 2] Samples

2. labels vector[N] Cluster memberships of the samples

3. r int. Number of dimensions in generated data. Set to 2

4. N int. Total number of samples. Set to 3*N_k

5. K_true int. Number of clusters. Set to 3

6. mu_true matrix[r, K_true] Cluster means

7. scatter_true array[r, r, K_true] Cluster scatter matrices

Note

"Robust M-Estimation based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions" Christian A. Schroth and Michael Muma, Signal Processing Group, Technische Universität Darmstadt submitted to IEEE Transactions on Signal Processing

Mufabo/ICASSP20.T6.R documentation built on May 30, 2021, 11:20 a.m.