MATLAB File Help: cv.LDA

cv.LDA

Linear Discriminant Analysis

Example

Xtrain = randn(100,5);
labels = randi([1 3], [100 1]);
Xtest = randn(100,5);

lda = cv.LDA('NumComponents',3);
lda.compute(Xtrain, labels);
Y = lda.project(Xtest);
Xapprox = lda.reconstruct(Y);

See also

cv.PCA, fitcdiscr

Class Details

Superclasses	handle
Sealed	false
Construct on load	false

Constructor Summary

LDA	Constructor, initializes a LDA object.

Property Summary

eigenvalues	of this LDA. Vector of length `ncomponents`.
eigenvectors	of this LDA. Matrix of size `d-by-ncomponents`.
id	Object ID

Method Summary

	addlistener	Add listener for event.
	compute	Compute the discriminants for data and labels.
	delete	Destructor
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	load	Deserializes this object from a given filename.
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
	project	Projects samples into the LDA subspace.
	reconstruct	Reconstructs projections from the LDA subspace.
	save	Serializes this object to a given filename.