Collection of Data Structures
Generate Background Noise Data
Generate Circle in p-d
Generate Small Spheres Within a Big Sphere
Generate Cluster Locations
Generate Blunted Cone
Generate Conical Spiral
Generate Crescent
Generate Cubic
Generate data with curvy shaped branches
Generate Curvy Cell Cycle in p-d
Generate Curvy Cylinder
Generate data with exponential shaped branches
Generate Gaussian
Generate Cube with grid points
Generate Grided Sphere
Generate Helical Hyper Spiral
Generate Hemisphere
Remove points within a spherical hole in the middle
Generate Hollow Sphere
Generate data with linear shaped branches
Generate Long Linear Data
Generate a 3-D Mobius
Generate Multiple Clusters
Generate Random Noise Dimensions
Generate Nonlinear Hyperbola
Generates a vector of positive integers whose product is approximately...
Generates a vector of positive integers whose summation is approximate...
Generate data with curvy shaped branches in a initial point
Generate data with linear shaped branches in a initial point
Generate p-D Triangular Pyramid With Triangular Pyramid shaped holes
Generate Rectangular Based Pyramid
Generate Star Based Pyramid
Generate Triangular Based Pyramid
Generate Quadratic
Generate Rotations
Generate S-curve Data
Generate S-curve Data with a Hole
Generate Spherical Spiral
Generate Swiss Roll Data
Generate 3-D Trefoil Knot Coordinates (Stereographic Projection)
Generate 4-D Trefoil Knot Coordinates
Generate Cube with uniform points
Generate Cube with Hole
Generate Uniform Sphere
Generate Random Noise Dimensions With Wavy Pattern
Generate Random Noise Dimensions With Wavy Pattern
Generate Random Noise Dimensions With Wavy Pattern
Generate a Chain of Interlocked Circles in High-Dimensional Space
Generate a Chain of Interlocked curvycycle in High-Dimensional Space
Generate Curvy Quadratic and Gaussian Clusters
Generate Concentric Circles with a Gaussian Cluster in High Dimensions
Generate Concentric Curvycycles with a Gaussian Cluster in High Dimens...
Generate Multiple Interlocked Circles in High-Dimensional Space
Generate Multiple Interlocked curvycycle in High-Dimensional Space
Generate Gaussian cluster with the Mobius Cluster
Generate Multiple Gaussian Clusters
Generate a Single Grid Cluster in High Dimensions
Generate Parallel Multi-Shape Clusters
Generate Two Overlapping Grid Clusters in High Dimensions
Generate Two Shifted Grid Clusters in High Dimensions
Generate Normalized data
Randomize Rows of a Data Frame
Relocate Clusters in High-Dimensional Space
A collection of functions to generate a large variety of structures in high dimensions. These data structures are useful for testing, validating, and improving algorithms used in dimensionality reduction, clustering, machine learning, and visualization.
Useful links