Train Discriminant Analysis Classifiers Using Classification Learner App

Create and compare discriminant analysis classifiers, and export trained models to make predictions for new data.

Supervised Learning Workflow and Algorithms

了解监督学习的步骤以及非参数分类和回归功能的特征。

Parametric Classification

分类响应数据

Discriminant Analysis Classification

Understand the discriminant analysis algorithm and how to fit a discriminant analysis model to data.

Creating Discriminant Analysis Model

Understand the algorithm used to construct discriminant analysis classifiers.

Create and Visualize Discriminant Analysis Classifier

Perform linear and quadratic classification of Fisher iris data.

改进判别分析模型

检查并改善判别分析模型性能。

Regularize Discriminant Analysis Classifier

Make a more robust and simpler model by removing predictors without compromising the predictive power of the model.

Examine the Gaussian Mixture Assumption

Discriminant analysis assumes that the data comes from a Gaussian mixture model. Understand how to examine this assumption.

预测强g Discriminant Analysis Models

了解如何预测使用判别分析模型对观察进行分类。

Visualize Decision Surfaces of Different Classifiers

此示例显示了如何可视化不同分类算法的决策表面。