distances-in-classification.pdf

distances-in-classification.pdf - DISTANCES IN...

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DISTANCES IN CLASSIFICATION CAFÉ SCIENTIFIQUE - 07/01/2016
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INTRODUCTION The notion of distance is the most important basis for classification. Standard distances often do not lead to appropriate results. For every individual problem the adequate distance is to be decided upon. The right choice of the distance measure is one of the most decisive steps for the determination of cluster properties.
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EUCLIDEAN DISTANCE The Euclidean distance or Euclidean metric is the "ordinary" (i.e. straight-line) distance between two points in Euclidean space. The Euclidean distance between points p and q is the length of the line segment connecting them ( ).
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MANHATTAN DISTANCE Taxicab geometry is a form of geometry in which the usual metric of Euclidean geometry is replaced by a new metric in which the distance between two points is the sum of the (absolute) differences of their coordinates. The Manhattan distance
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  • Winter '11
  • HERMAN
  • Distance,  Standard distances

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