MM_data: Generating Manifold Mixture data

In JerryBubble/skeletonClus: Skeleton Clustering method

Description

Generating Manifold Mixture data

Generating Manifold Mixture data

Usage

MM_data(
  n1 = 800,
  n2 = 400,
  n3 = 2000,
  sd1 = 0.04,
  sd2 = 0.04,
  sd3 = 0.04,
  d = 3,
  sd_high = 0.1
)

MM_data(
  n1 = 800,
  n2 = 400,
  n3 = 2000,
  sd1 = 0.04,
  sd2 = 0.04,
  sd3 = 0.04,
  d = 3,
  sd_high = 0.1
)

Arguments

n1	number of points in the ring structure
n2	number of points in the perturbed line segment structure
n3	number of points in the 2-dimensional plane structure
sd1	the standard deviation of shifts for points in the ring structure
sd2	the standard deviation of shifts for points in the perturbed line segment structure
sd3	the standard deviation of shifts for points in the 2-dimensional plane structure
d	a number indicating the dimension of the generated data. d>3 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 = MM_data()$data
X = MM_data()$data

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