MATLAB File Help: prtClassKmsd |
prtClassKmsd Kernel matched subspace detector classifier CLASSIFIER = prtClassKmsd returns a Kmsd classifier CLASSIFIER = prtClassKmsd(PROPERTY1, VALUE1, ...) constructs a prtClassKmsd object CLASSIFIER with properties as specified by PROPERTY/VALUE pairs. A prtClassKmsd object inherits all properties from the abstract class prtClass. In addition is has the following properties: sigma - Inverse kernel width for Gaussian radial basis function For more information on Kmsd classifiers, refer to the following URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1561179 A prtClassKmsd object inherits the TRAIN, RUN, CROSSVALIDATE and KFOLDS methods from prtAction. It also inherits the PLOT method from prtClass. Example: TestDataSet = prtDataGenUnimodal; % Create some test and TrainingDataSet = prtDataGenUnimodal; % training data classifier = prtClassKmsd; % Create a classifier classifier = classifier.train(TrainingDataSet); % Train classified = run(classifier, TestDataSet); % Test classifier.plot;
Superclasses | prtClass |
Sealed | false |
Construct on load | false |
prtClassKmsd | Kernel matched subspace detector classifier |
dataSet | The training prtDataSet, only stored if verboseStorage is true. |
dataSetSummary | Structure that summarizes prtDataSet. |
internalDecider | Optional prtDecider object for making decisions |
isCrossValidateValid | True |
isNativeMary | False |
isSupervised | True |
isTrained | Indicates if prtAction object has been trained. |
name | Required by prtAction |
nameAbbreviation | KMSD |
showProgressBar | |
sigma | Kernel parameter for radial basis function |
twoClassParadigm | Whether the classifier retures one output (binary) or two outputs (m-ary) when there are only two unique class labels |
userData | User specified data |
verboseStorage | Specifies whether or not to store the training prtDataset. |
crossValidate | Cross validate prtAction using prtDataSet and cross validation keys. | |
get | get the object properties | |
kfolds | Perform K-folds cross-validation of prtAction | |
optimize | Optimize action parameter by exhaustive function maximization. | |
plot | Plot the output confidence of a prtClass object | |
run | Run a prtAction object on a prtDataSet object. | |
set | set the object properties | |
train | Train a prtAction object using training a prtDataSet object. |