Mercurial > dive4elements > river
annotate flys-artifacts/src/main/java/de/intevation/flys/artifacts/math/Outlier.java @ 2716:150dcdefeb7d
Only offer soundings that fit to the current km range in MINFO bed height workflow.
flys-artifacts/trunk@4444 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Ingo Weinzierl <ingo.weinzierl@intevation.de> |
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date | Fri, 18 May 2012 12:44:20 +0000 |
parents | c11da3540b70 |
children | ab81ffd1343e |
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1 package de.intevation.flys.artifacts.math; |
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2 |
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3 import org.apache.commons.math.MathException; |
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4 |
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5 import org.apache.commons.math.stat.descriptive.moment.Mean; |
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6 import org.apache.commons.math.stat.descriptive.moment.StandardDeviation; |
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7 |
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8 import org.apache.commons.math.distribution.TDistributionImpl; |
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9 |
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10 import java.util.List; |
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11 import java.util.ArrayList; |
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12 |
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13 import org.apache.log4j.Logger; |
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14 |
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15 public class Outlier |
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16 { |
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17 private static Logger log = Logger.getLogger(Outlier.class); |
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18 |
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19 public static class IndexedValue { |
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20 protected int index; |
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21 protected double value; |
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22 |
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23 public IndexedValue() { |
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24 } |
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25 |
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26 public IndexedValue(int index, double value) { |
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27 this.index = index; |
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28 this.value = value; |
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29 } |
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30 |
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31 public int getIndex() { |
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32 return index; |
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33 } |
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34 |
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35 public void setIndex(int index) { |
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36 this.index = index; |
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37 } |
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38 |
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39 public double getValue() { |
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40 return value; |
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41 } |
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42 |
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43 public void setValue(double value) { |
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44 this.value = value; |
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45 } |
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46 } // class IndexedValue |
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47 |
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48 public Outlier() { |
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49 } |
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50 |
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51 public static List<IndexedValue> findOutliers( |
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52 List<IndexedValue> inputValues, |
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53 double alpha |
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54 ) { |
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55 ArrayList<IndexedValue> outliers = new ArrayList<IndexedValue>(); |
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56 |
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57 ArrayList<IndexedValue> values = |
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58 new ArrayList<IndexedValue>(inputValues); |
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59 |
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60 for (;;) { |
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61 int N = values.size(); |
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62 |
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63 if (N < 4) { |
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64 break; |
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65 } |
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66 |
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67 Mean mean = new Mean(); |
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68 StandardDeviation std = new StandardDeviation(); |
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69 |
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70 for (IndexedValue value: values) { |
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71 mean.increment(value.getValue()); |
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72 std.increment(value.getValue()); |
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73 } |
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74 |
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75 double m = mean.getResult(); |
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76 double s = std.getResult(); |
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77 |
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78 double maxZ = -Double.MAX_VALUE; |
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79 int iv = -1; |
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80 for (int i = N-1; i >= 0; --i) { |
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81 IndexedValue v = values.get(i); |
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82 double z = Math.abs(m - v.getValue())/s; |
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83 if (z > maxZ) { |
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84 maxZ = z; |
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85 iv = i; |
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86 } |
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87 } |
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88 |
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89 double t = Math.sqrt((N*(N-2)*maxZ*maxZ) |
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90 /((N-1)*(N-1) - N*maxZ*maxZ)); |
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91 |
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92 TDistributionImpl tdist = new TDistributionImpl(N-2); |
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93 |
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94 try { |
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95 double p = tdist.cumulativeProbability(t); |
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96 |
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97 if (p < alpha) { |
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98 outliers.add(values.get(iv)); |
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99 values.remove(iv); |
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100 } |
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101 } |
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102 catch (MathException me) { |
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103 log.error(me); |
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104 } |
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105 } |
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106 |
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107 |
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108 return outliers; |
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109 } |
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110 } |
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111 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 : |