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[MRG+2] LOF algorithm (Anomaly Detection) #5279

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merged 18 commits into from Oct 25, 2016

fix doc

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ngoix committed Aug 19, 2016
commit 3b43dcc3b4bb54ffe7aa0b3b02ffa5b3bcd08292
@@ -177,6 +177,7 @@ This strategy is illustrated below.
Local Outlier Factor
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One other very efficient way of performing outlier detection in datasets whose

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@tguillemot

tguillemot Sep 13, 2016

Contributor

Maybe Another efficient way to perform outlier detection on moderately high dimensional datasets is ... ?

@tguillemot

tguillemot Sep 13, 2016

Contributor

Maybe Another efficient way to perform outlier detection on moderately high dimensional datasets is ... ?

dimension is moderately large is to use the Local Outlier Factor (LOF) algorithm.
@@ -223,7 +224,6 @@ This strategy is illustrated below.
One-class SVM versus Elliptic Envelope versus Isolation Forest versus LOF
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>>>>>>> LOF algorithm
Strictly-speaking, the One-class SVM is not an outlier-detection method,
but a novelty-detection method: its training set should not be
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