unlabelled_data

#UnlabelledData

##Description The UnlabelledData structure is the main data structure for recording, labeling, managing, saving, and loading training data for unsupervised learning problems.

As of GRT revision 347, this replaces the UnlabelledClassificationData data structure, however a typedef enables you to still use the UnlabelledClassificationData in your old code if needed.

##Suitable Clustering Algorithms The UnlabelledData data structure should be used to train the following GRT clustering algorithms:

• K-Means Clustering
• Gaussian Mixture Models

##Things To Know The only thing you really need to know about the UnlabelledData class is that you must set the number of input dimensions of your dataset before you try and add samples to the training dataset (see the example below for how to do this).

##Example UnlabelledData