Implementation
Centre for Vision, Speech & Signal Processing
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Subtopics:

    AMMA
        Pattern Recognition
            Performance Evaluation
                Implementation

Classes:

Default Classes Description
NumErrorCountBC Error counting for estimating probability of misclassification.
NumErrorCountC Unity weighted error counting.
NumErrorWeightBC Weighted error counting for estimating probability of misclassification.
NumErrorWeightC Weighted error counting.
NumPerfHoldOutBC Performance evaluation using data Hold Out method.
NumPerfHoldOutC Hold out method for classification performance evaluation
NumPerfCrossValBC Performance evaluation using data Cross Validation method.
NumPerfCrossValC Cross validation method for classificatio performance evaluation
NumPerfLeaveOutOneC Leave-Out-One method for classification performance evaluation
NumPerfRotationC Rotation cross validation method for classificatio performance evaluation
NumClustMinVarianceBC Related Minimum Variance Criteria for clustering performance.
NumClustMinVarianceC Related Minimum Variance clustering criteria.
NumClustScatterDetBC Scatter Matrix Determinant for clustering performance.
NumClustScatterDetC Scatter Matrix Determinant clustering criteria.
Author: Anonymous, Generated by DocEntry: March 20, 2001