diff options
author | Andrej Shadura <andrewsh@debian.org> | 2019-03-09 22:30:40 +0000 |
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committer | Andrej Shadura <andrewsh@debian.org> | 2019-03-09 22:30:40 +0000 |
commit | 337087b668d3a54f3afee3a9adb597a32e9f7e94 (patch) | |
tree | d860094269622472f8079d497ac7af02dbb4e038 /src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java | |
parent | 14a486343aef55f97f54082d6b542dedebf6f3ba (diff) |
Import Upstream version 0.6.5~20141030
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java b/src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java index 04233378..5591df3f 100644 --- a/src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java +++ b/src/de/lmu/ifi/dbs/elki/evaluation/outlier/OutlierThresholdClustering.java @@ -3,7 +3,7 @@ package de.lmu.ifi.dbs.elki.evaluation.outlier; This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures - Copyright (C) 2013 + Copyright (C) 2014 Ludwig-Maximilians-Universität München Lehr- und Forschungseinheit für Datenbanksysteme ELKI Development Team @@ -32,7 +32,7 @@ import de.lmu.ifi.dbs.elki.data.model.Model; import de.lmu.ifi.dbs.elki.database.ids.DBIDIter; import de.lmu.ifi.dbs.elki.database.ids.DBIDUtil; import de.lmu.ifi.dbs.elki.database.ids.ModifiableDBIDs; -import de.lmu.ifi.dbs.elki.database.relation.Relation; +import de.lmu.ifi.dbs.elki.database.relation.DoubleRelation; import de.lmu.ifi.dbs.elki.evaluation.Evaluator; import de.lmu.ifi.dbs.elki.result.HierarchicalResult; import de.lmu.ifi.dbs.elki.result.Result; @@ -88,7 +88,7 @@ public class OutlierThresholdClustering implements Evaluator { } private Clustering<Model> split(OutlierResult or) { - Relation<Double> scores = or.getScores(); + DoubleRelation scores = or.getScores(); if(scaling instanceof OutlierScalingFunction) { ((OutlierScalingFunction) scaling).prepare(or); } @@ -97,7 +97,7 @@ public class OutlierThresholdClustering implements Evaluator { idlists.add(DBIDUtil.newHashSet()); } for(DBIDIter iter = scores.getDBIDs().iter(); iter.valid(); iter.advance()) { - double score = scores.get(iter); + double score = scores.doubleValue(iter); if(scaling != null) { score = scaling.getScaled(score); } |