Mickey_data: Generating Mickey data

In JerryBubble/skeletonClus: Skeleton Clustering method

Description

Generating Mickey data

Generating Mickey data

Usage

Mickey_data(n1 = 1000, n2 = 100, s1 = 1, s2 = 0.2, d = 2, sd_high = 0.1)

Mickey_data(n1 = 1000, n2 = 100, s1 = 1, s2 = 0.2, d = 2, sd_high = 0.1)

Arguments

n1	a number indicating the number of points in the larger circle
n2	a number indicating the number of points in each of the two smaller circles
s1	a number indicating the base radius for the larger circle
s2	a number indicating the base radius for each of the two smaller circles
d	a number indicating the dimension of the generated data. d>2 dimensions are filled with independent Gaussian noises
sd_high	a number indicating the standard deviation for Gaussian noises in the higher dimensions

Value

A list of generated data points and the true labels

• data - The generated data matrix

• clus - The vector of true cluster labels for each data point

A list of generated data points and the true labels

• data - The generated data matrix

• clus - The vector of true cluster labels for each data point

Examples

X = Mickey_data()$data
plot(X[,1], X[,2])
X = Mickey_data()$data
plot(X[,1], X[,2])

JerryBubble/skeletonClus documentation built on Dec. 18, 2021, 1:28 a.m.