Binary Dataset

version 1.0 (4.04 KB) by Kepeng Qiu
MATLAB code for 2D or 3D binary dataset for classification.

9 Downloads

Updated Fri, 13 May 2022 07:54:53 +0000

From GitHub

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🔥🔥 BinaryDataset

MATLAB code for 2D or 3D binary dataset.

✨ MAIN FEATURES

  • 2D or 3D binary dataset of "banana" and "circle" shapes.
  • Partitioning of training dataset/label and test dataset/label.

🔨 HOW TO USE

ocdata = BinaryDataset();
[data, label] = ocdata.generate;
[trainData, trainLabel, testData, testLabel] = ocdata.partition;

The full Name-Value Arguments of class BinaryDataset are

  • shape: shape of dataset, 'banana' or 'circle'.
  • dimensionality: dimensionality of dataset, 2 or 3.
  • number: number of samples per class, for example: [200, 200].
  • display: visualization, 'on' or 'off'.
  • noise: noise added to dataset with range [0, 1]. For example: 0.2.
  • ratio: ratio of the test set with range (0, 1). For example: 0.3.

👉 Example 1

Generate a 3D banana-shaped dataset with 200 and 100 samples for each class, and divide 10% of the data into the test dataset.

ocdata = BinaryDataset( 'shape', 'banana',...
                        'dimensionality', 3,...
                        'number', [200, 100],...
                        'display', 'on', ...
                        'noise', 0.2,...
                        'ratio', 0.1);
[data, label] = ocdata.generate;
[trainData, trainLabel, testData, testLabel] = ocdata.partition;

👉 Example 2

Generate a 2D circle-shaped dataset with 100 and 300 samples for each class, and divide 50% of the data into the test dataset.

ocdata = BinaryDataset( 'shape', 'circle',...
                        'dimensionality', 2,...
                        'number', [100, 300],...
                        'display', 'on', ...
                        'noise', 0.2,...
                        'ratio', 0.5);
[data, label] = ocdata.generate;
[trainData, trainLabel, testData, testLabel] = ocdata.partition;

Cite As

Kepeng Qiu (2022). Binary Dataset (https://github.com/iqiukp/BinaryDataset/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with R2016b and later releases
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.