1. Distance metrics in pattern recognition
... to the Euclidean distance. The Euclidean and Mahalanobis Distances Compared The high computational cost of calculating the covariance matrix means that other standardisation methods, discussed earlier, are used in practical clustering algorithms. Limitations of Linear Discriminate Functions 1. The features may be inadequate to distinguish the different classes 2. The features may be highly correlated 3. The decision ... training set T that have value x for attribute a; • Na,x,c is the number of instances in T that have value x for attribute a and output class c; • C is the number o...
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- Grade Level: High School