TMCCToolbox

Topological Multi-Class Classifier Toolbox

Classification

applyClassification_alldata.m

Dedekind Cuts Classifier

LinearScaleClassifier.m

Topological Classification (excluding test data after clustring)

1. KohonenMap.py - perform clustering
2. applyClassificationEachNeuron.m (for k folds)

Topological Classification (excluding test data before clustring)

1. createDataSet_LeaveOnePatientOut.m - create from dataset (need to retag 'clean_patient' field randomly, range [1-<number_of_folds>])
2. RunKohonenMap_LeaveOnePatientOut.py - performs clustering
3. applyClassificationEachNeuron_MultipleFolders.m (applyClassificationEachNeuronLeaveOneOut.m) - perform classification

Leave One Patient Out Topological Classification

1. createDataSet_LeaveOnePatientOut.m - create from dataset
2. RunKohonenMap_LeaveOnePatientOut.py - perform clustering
3. applyClassificationEachNeuron_MultipleFolders.m (applyClassificationEachNeuronLeaveOneOut.m) - perform classification