Changeset 9640:72c66ef78499 in orange for docs/reference/rst/Orange.distance.instances.rst
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 02/05/12 23:08:09 (2 years ago)
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 default
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 27ed4e45a002d3c881d6184420c96a9a7fae96d6
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docs/reference/rst/Orange.distance.instances.rst
r9639 r9640 92 92 93 93 94 .. class:: Hamming, HammingConstructor 94 .. class:: HammingConstructor 95 .. class:: Hamming 95 96 96 97 Hamming distance between two instances is defined as the number of … … 99 100 100 101 101 .. class:: Maximal, MaximalConstructor 102 .. class:: MaximalConstructor 103 .. class:: Maximal 102 104 103 105 The maximal between two instances is defined as the maximal distance … … 107 109 108 110 109 .. class:: Manhattan, ManhattanConstructor 111 .. class:: ManhattanConstructor 112 .. class:: Manhattan 110 113 111 114 Manhattan distance between two instances is a sum of absolute values … … 113 116 where dist is the result of ExamplesDistance_Normalized.attributeDistances. 114 117 115 .. class:: Euclidean , EuclideanConstructor116 118 .. class:: EuclideanConstructor 119 .. class:: Euclidean 117 120 118 121 Euclidean distance is a square root of sum of squared perfeature distances, … … 123 126 124 127 An object of type 125 :obj:` Orange.statistics.distribution.Distribution` that holds128 :obj:`~Orange.statistics.distribution.Distribution` that holds 126 129 the distributions for all discrete features used for 127 130 computation of distances between known and unknown values. … … 151 154 (the precomputed distance between two unknown values). 152 155 153 .. class:: Relief, ReliefConstructor 156 .. class:: ReliefConstructor 157 .. class:: Relief 154 158 155 159 Relief is similar to Manhattan distance, but incorporates a more
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