1. Distance metrics in pattern recognition
... : of which the Euclidean metric is a further special case for , and the Manhattan metric for . Another distance measure, often used for text document information retrieval, is the cosine angle distance . This is the cosine of the angle subtended by two points from the origin, subtracted from unity: The dot product form is particularly simple to compute. This measure is not a metric as ... is useful only in specific problem domains. Kormaz proposes a hybrid measure, , which aims to overcome this last limitation . Figure illustrates the differences between the Euclidean, Manhattan and cosi...
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