prData

Various test datasets for pattern recognition

Contents

Syntax

Description

DS=prData(dataName) generate different dataset for classification.

• dataName:
  • 'iris': Iris dataset
  • 'wine': Wine dataset
  • 'abalone': Abalone dataset
  • 'taiji': TaiJi dataset
  • 'random2': 2D dataset of random numbers
  • 'random3': 3D dataset of random numbers
  • 'random6': 6D dataset of random numbers
  • 'digit': MNIST dataset of hand-written isolated digits
  • '2spirals': Dataset of two spirals
  • 'gender': Gender dataset

Example

subplot(2,3,1);
DS=prData('random2'); dsScatterPlot(DS);
subplot(2,3,2);
DS=prData('taiji'); dsScatterPlot(DS);
subplot(2,3,3);
DS=prData('linSeparable'); dsScatterPlot(DS);
subplot(2,3,4);
DS=prData('peaks'); dsScatterPlot(DS);
subplot(2,3,5);
DS=prData('3classes'); dsScatterPlot(DS);
subplot(2,3,6);
DS=prData('nonlinearSeparable'); dsScatterPlot(DS);

See Also

dcData.

Published with MATLAB® R2018a