Complete Classifiers

In this page you can to prove the different combinations of Classification, Editing and Condensing. The classifier first apply Editing process to the Training Set, after apply Condensing process to the resulting set, finally apply Classification to the new resulting set. In the classification, you are not tried to classify a single sample and obtain their neighbours, how we made in the pages of the algorithms of classification, but rather you are trying to classify all one set of samples.

---

How to use this applet?

1. The top panel is Modes panel, the right panel is Controls panel and the central panel is Drawing panel.
2. To select the number of classes (label No classes) in the controls panel for the training set.
3. To do click over any radiobutton that identify a class (labels 1, 2, ..., 12) in the controls panel.
4. To do click over the drawing panel to insert prototypes in the training set (of the class selected in the step 4). These prototypes will have 2 characteristics whose values will remain defined for the axes x and y.
5. To select el radiobutton with label "2. Editing" in the modes panel to changing to the editing mode.
6. To select the editing algorithm (label Algorithm) in the controls panel. Then you can see the resultant set of the editing.
7. You could change the number of neighbours (label k) in the controls panel if it is permitted for the selected editing algorithm.
To select el radiobutton with label "3. Condensing" in the modes panel to changing to the condensing mode.
To select the condensing algorithm (label Algorithm) in the controls panel. Then you can see the resultant set of the condensing.
You could change the number of neighbours (label k) in the controls panel if it is permitted for the selected condensing algorithm.
To select el radiobutton with label "4. Classification" in the modes panel to changing to the classification mode.
To select the classification algorithm (label Algorithm) in the controls panel.
You could change the number of neighbours (label k) in the controls panel if it is permitted for the selected classification algorithm.
To do click over the radiobutton sample (label sample) in the controls panel.
To do click over the drawing panel to insert the samples set. All the introduced samples will be classified instantly. Any change in the algorithms of classification, editing or condensing will be reflected automatically classifying this samples set again..
16. The radiobutton with label Inspection in the controls panel allows to know the coordinates of the next prototypes (o sample) to the cursor mouse.
17. The radiobutton with label Remove (only in design and classification mode) in the controls panel allows delete the next prototype (o sample) to the cursor mouse.
18. The button Clear (only in design and classification mode) in the controls panel allows delete all the training set or samples set (respectively).