Home
last modified time | relevance | path

Searched refs:MeanVariance (Results 1 – 25 of 80) sorted by relevance

1234

/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core-math/src/test/java/de/lmu/ifi/dbs/elki/math/
H A DMeanVarianceTest.java51 MeanVariance mv = new MeanVariance(); in testSlidingWindowVariance()
52 MeanVariance mc = new MeanVariance(); in testSlidingWindowVariance()
102 MeanVariance mv = new MeanVariance(); in notNaive()
116 MeanVariance mv = new MeanVariance();
130 MeanVariance m1 = new MeanVariance(), m2 = new MeanVariance();
133 MeanVariance m3 = new MeanVariance(m1);
149 new MeanVariance().put(new double[0]).getSampleVariance();
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core-math/src/main/java/de/lmu/ifi/dbs/elki/math/
H A DMeanVariance.java86 public class MeanVariance extends Mean { class
95 public MeanVariance() { in MeanVariance() method in MeanVariance
104 public MeanVariance(MeanVariance other) { in MeanVariance() method in MeanVariance
161 if(!(other instanceof MeanVariance)) { in put()
164 final MeanVariance mvo = (MeanVariance) other; in put()
180 public MeanVariance put(double[] vals) { in put()
218 public MeanVariance put(double[] vals, double[] weights) { in put()
285 public static MeanVariance[] newArray(int dimensionality) { in newArray()
286 MeanVariance[] arr = new MeanVariance[dimensionality]; in newArray()
288 arr[i] = new MeanVariance(); in newArray()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core-math/src/main/java/de/lmu/ifi/dbs/elki/math/statistics/tests/
H A DWelchTTest.java23 import de.lmu.ifi.dbs.elki.math.MeanVariance;
54 MeanVariance mv1 = new MeanVariance(), mv2 = new MeanVariance(); in deviation()
75 public static double calculateTestStatistic(MeanVariance mv1, MeanVariance mv2) { in calculateTestStatistic()
89 public static int calculateDOF(MeanVariance mv1, MeanVariance mv2) { in calculateDOF()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core/src/main/java/de/lmu/ifi/dbs/elki/utilities/datastructures/histogram/
H A DMeanVarianceStaticHistogram.java23 import de.lmu.ifi.dbs.elki.math.MeanVariance;
36 public class MeanVarianceStaticHistogram extends AbstractObjStaticHistogram<MeanVariance> {
51 MeanVariance[] data;
69 public void putData(double coord, MeanVariance data) { in putData()
75 protected MeanVariance makeObject() { in makeObject()
76 return new MeanVariance(); in makeObject()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/benchmark/
H A DValidateApproximativeKNNIndex.java46 import de.lmu.ifi.dbs.elki.math.MeanVariance;
163 MeanVariance mv = new MeanVariance(), mvrec = new MeanVariance(); in run()
164 MeanVariance mvdist = new MeanVariance(), mvdaerr = new MeanVariance(), in run()
165 mvdrerr = new MeanVariance(); in run()
229 MeanVariance mv = new MeanVariance(), mvrec = new MeanVariance(); in run()
230 MeanVariance mvdist = new MeanVariance(), mvdaerr = new MeanVariance(), in run()
231 mvdrerr = new MeanVariance(); in run()
H A DKNNBenchmarkAlgorithm.java40 import de.lmu.ifi.dbs.elki.math.MeanVariance;
125 MeanVariance mv = new MeanVariance(), mvdist = new MeanVariance(); in run()
166 MeanVariance mv = new MeanVariance(), mvdist = new MeanVariance(); in run()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki/src/test/java/de/lmu/ifi/dbs/elki/algorithm/
H A DKNNJoinTest.java44 import de.lmu.ifi.dbs.elki.math.MeanVariance;
83 MeanVariance meansize = new MeanVariance(); in testLinearScan()
95 MeanVariance meansize = new MeanVariance(); in testLinearScan()
151 MeanVariance meansize = new MeanVariance(); in doKNNJoin()
163 MeanVariance meansize = new MeanVariance(); in doKNNJoin()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core-math/src/main/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/estimator/
H A DMeanVarianceDistributionEstimator.java25 import de.lmu.ifi.dbs.elki.math.MeanVariance;
45 D estimateFromMeanVariance(MeanVariance mv); in estimateFromMeanVariance()
55 MeanVariance mv = new MeanVariance(); in estimate()
H A DLogMeanVarianceEstimator.java23 import de.lmu.ifi.dbs.elki.math.MeanVariance;
46 D estimateFromLogMeanVariance(MeanVariance mv, double shift); in estimateFromLogMeanVariance()
60 MeanVariance mv = new MeanVariance(); in estimate()
H A DExpGammaExpMOMEstimator.java23 import de.lmu.ifi.dbs.elki.math.MeanVariance;
58 MeanVariance mv = new MeanVariance(); in estimate()
65 public ExpGammaDistribution estimateFromExpMeanVariance(MeanVariance mv) { in estimateFromExpMeanVariance()
H A DNormalLevenbergMarquardtKDEEstimator.java25 import de.lmu.ifi.dbs.elki.math.MeanVariance;
66 MeanVariance mv = new MeanVariance(); in estimate()
H A DLogNormalLevenbergMarquardtKDEEstimator.java25 import de.lmu.ifi.dbs.elki.math.MeanVariance;
67 MeanVariance mv = new MeanVariance(); in estimate()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-outlier/src/main/java/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/
H A DHeDESNormalizationOutlierScaling.java26 import de.lmu.ifi.dbs.elki.math.MeanVariance;
72 MeanVariance mv = new MeanVariance(); in prepare()
92 MeanVariance mv = new MeanVariance(); in prepare()
H A DOutlierGammaScaling.java25 import de.lmu.ifi.dbs.elki.math.MeanVariance;
101 MeanVariance mv = new MeanVariance(); in prepare()
117 MeanVariance mv = new MeanVariance(); in prepare()
H A DStandardDeviationScaling.java27 import de.lmu.ifi.dbs.elki.math.MeanVariance;
112 MeanVariance mv = new MeanVariance(); in prepare()
139 MeanVariance mv = new MeanVariance(); in prepare()
H A DOutlierLinearScaling.java26 import de.lmu.ifi.dbs.elki.math.MeanVariance;
128 MeanVariance mv = new MeanVariance(); in prepare()
184 MeanVariance mv = new MeanVariance(); in prepare()
H A DMinusLogGammaScaling.java26 import de.lmu.ifi.dbs.elki.math.MeanVariance;
91 MeanVariance mv = new MeanVariance(); in prepare()
H A DMixtureModelOutlierScaling.java28 import de.lmu.ifi.dbs.elki.math.MeanVariance;
138 MeanVariance mv = new MeanVariance(); in prepare()
215 MeanVariance mv = new MeanVariance(); in prepare()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-input/src/test/java/de/lmu/ifi/dbs/elki/datasource/filter/normalization/columnwise/
H A DAttributeWiseVarianceNormalizationTest.java33 import de.lmu.ifi.dbs.elki.math.MeanVariance;
54 MeanVariance[] mvs = MeanVariance.newArray(dim); in defaultParameters()
84 MeanVariance[] mvs = MeanVariance.newArray(dim); in testNaNParameters()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki/src/main/java/de/lmu/ifi/dbs/elki/algorithm/statistics/
H A DDistanceStatisticsWithClasses.java40 import de.lmu.ifi.dbs.elki.math.MeanVariance;
122 MeanVariance mimin = new MeanVariance(); in run()
123 MeanVariance mimax = new MeanVariance(); in run()
124 MeanVariance midif = new MeanVariance(); in run()
126 MeanVariance momin = new MeanVariance(); in run()
127 MeanVariance momax = new MeanVariance(); in run()
128 MeanVariance modif = new MeanVariance(); in run()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-input/src/test/java/de/lmu/ifi/dbs/elki/datasource/filter/normalization/instancewise/
H A DInstanceMeanVarianceNormalizationTest.java31 import de.lmu.ifi.dbs.elki.math.MeanVariance;
51 MeanVariance mvs = new MeanVariance(); in defaultParameters()
H A DInstanceLogRankNormalizationTest.java32 import de.lmu.ifi.dbs.elki.math.MeanVariance;
53 MeanVariance expected = new MeanVariance(); in defaultParameters()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/em/
H A DDiagonalGaussianModelFactory.java34 import de.lmu.ifi.dbs.elki.math.MeanVariance;
66 MeanVariance[] mvs = MeanVariance.newArray(dim); in buildInitialModels()
H A DSphericalGaussianModelFactory.java34 import de.lmu.ifi.dbs.elki.math.MeanVariance;
66 MeanVariance[] mvs = MeanVariance.newArray(dim); in buildInitialModels()
/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-index-rtree/src/main/java/de/lmu/ifi/dbs/elki/index/preprocessed/knn/
H A DSpatialApproximationMaterializeKNNPreprocessor.java38 import de.lmu.ifi.dbs.elki.math.MeanVariance;
88 MeanVariance pagesize = new MeanVariance(); in preprocess()
89 MeanVariance ksize = new MeanVariance(); in preprocess()

1234