Changeset 9641:87e1bab24ac0 in orange
 Timestamp:
 02/05/12 23:11:21 (2 years ago)
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 default
 rebase_source:
 f4c83a7c75ad24158d5d59e4689566b8f63423e2
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docs/reference/rst/Orange.distance.instances.rst
r9640 r9641 113 113 114 114 Manhattan distance between two instances is a sum of absolute values 115 of distances between pairs of features, e.g. `` apply(add, [abs(x) for x in dist])``115 of distances between pairs of features, e.g. ``sum(abs(x) for x in dist)`` 116 116 where dist is the result of ExamplesDistance_Normalized.attributeDistances. 117 117 … … 120 120 121 121 Euclidean distance is a square root of sum of squared perfeature distances, 122 i.e. ``sqrt( apply(add, [x*x for x in dist]))``, where dist is the result of122 i.e. ``sqrt(sum(x*x for x in dist))``, where dist is the result of 123 123 ExamplesDistance_Normalized.attributeDistances. 124 124 … … 142 142 between the known and the average, plus variance 143 143  Two unknown continuous attributes equals double variance 144  A known and unknown discrete attribute equals the probabilit 144  A known and unknown discrete attribute equals the probability 145 145 that the unknown attribute has different value than the known 146 146 (i.e., 1  probability of the known value)
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