diff options
author | Andrej Shadura <andrewsh@debian.org> | 2019-03-09 22:30:33 +0000 |
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committer | Andrej Shadura <andrewsh@debian.org> | 2019-03-09 22:30:33 +0000 |
commit | ace5fa7f57d49756c0e1b111a30f3b6a9436c1cb (patch) | |
tree | 041e034bddeeaf574c02ca8f040b1359cef00133 /src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java | |
parent | c36aa2a8fd31ca5e225ff30278e910070cd2c8c1 (diff) |
Import Upstream version 0.5.0
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java b/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java index 6ef5c006..7d76a69f 100644 --- a/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java +++ b/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java @@ -24,6 +24,7 @@ package de.lmu.ifi.dbs.elki.utilities.scaling.outlier; */ import de.lmu.ifi.dbs.elki.database.ids.DBID; +import de.lmu.ifi.dbs.elki.database.ids.DBIDIter; import de.lmu.ifi.dbs.elki.math.MathUtil; import de.lmu.ifi.dbs.elki.math.MeanVariance; import de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution; @@ -115,7 +116,8 @@ public class StandardDeviationScaling implements OutlierScalingFunction { public void prepare(OutlierResult or) { if(fixedmean == null) { MeanVariance mv = new MeanVariance(); - for(DBID id : or.getScores().iterDBIDs()) { + for(DBIDIter iditer = or.getScores().iterDBIDs(); iditer.valid(); iditer.advance()) { + DBID id = iditer.getDBID(); double val = or.getScores().get(id); if(!Double.isNaN(val) && !Double.isInfinite(val)) { mv.put(val); @@ -131,7 +133,8 @@ public class StandardDeviationScaling implements OutlierScalingFunction { mean = fixedmean; double sqsum = 0; int cnt = 0; - for(DBID id : or.getScores().iterDBIDs()) { + for(DBIDIter iditer = or.getScores().iterDBIDs(); iditer.valid(); iditer.advance()) { + DBID id = iditer.getDBID(); double val = or.getScores().get(id); if(!Double.isNaN(val) && !Double.isInfinite(val)) { sqsum += (val - mean) * (val - mean); |