QDA_Data: A list consisting of Training and Test data along with...

In biClassify: Binary Classification Using Extensions of Discriminant Analysis

Description

A list consisting of Training and Test data along with corresponding class labels.

Usage

QDA_Data

Format

A list consisting of:

TrainData

(10000 x 10) Matrix of independent normally-distributed training samples conditioned on class membership. There are 7000 samples belonging to class 1, and 3000 samples belonging to class 2. The class 1 mean vector is the vector of length 10 consisting only of -2. Likewise, the class 2 mean vector is the vector of length 10 consisting only of 2. The class 1 covariance matrix has (i,j) entry (0.5)^|i-j|. The class 2 covariance matrix has (i,j) entry (-0.5)^|i-j|.

TestData

(1000 x 10) Matrix of independenttest data features with the same distributions and class proportions as TrainData

.

Train

(10000 x 1) Vector of class labels for the samples in TrainData.

TestCat

(1000 x 1) Vector of class labels for the samples in TestData.

...

References

Lapanowski, Alexander F., and Gaynanova, Irina. “Compressing large-sample data for discriminant analysis”, preprint.

biClassify documentation built on Dec. 11, 2021, 9:22 a.m.