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Bayes classifier for normally distributed data
This simple classification model assumes that feature vectors from each class are normally distributed (though, not necessarily independently distributed). So, the whole data distribution function is assumed to be a Gaussian mixture, one component per class. Using the training data the algorithm estimates mean vectors and covariance matrices for every class, and then it uses them for prediction.
[Fukunaga90]:
K. Fukunaga. "Introduction to Statistical Pattern Recognition", 2e. New York: Academic Press, 1990.
| Superclasses | handle |
| Sealed | false |
| Construct on load | false |
| NormalBayesClassifier | Creates/trains a new Bayes classifier model |
| id | Object ID |
| addlistener | Add listener for event. | |
| calcError | Computes error on the training or test dataset | |
| clear | Clears the algorithm state | |
| delete | Destructor | |
| empty | Returns true if the algorithm is empty | |
| 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. | |
| getDefaultName | Returns the algorithm string identifier | |
| getVarCount | Returns the number of variables in training samples | |
| gt | > (GT) Greater than relation for handles. | |
| isClassifier | Returns true if the model is a classifier | |
| isTrained | Returns true if the model is trained | |
| Sealed | isvalid | Test handle validity. |
| le | <= (LE) Less than or equal relation for handles. | |
| listener | Add listener for event without binding the listener to the source object. | |
| load | Loads algorithm from a file or a string | |
| lt | < (LT) Less than relation for handles. | |
| ne | ~= (NE) Not equal relation for handles. | |
| notify | Notify listeners of event. | |
| predict | Predicts responses for input samples | |
| predictProb | Predicts the response for sample(s) | |
| save | Saves the algorithm parameters to a file or a string | |
| train | Trains the statistical model |
| ObjectBeingDestroyed | Notifies listeners that a particular object has been destroyed. |