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insighttoolkit4 4.13.3withdata-dfsg1-4
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 489,260 kB
  • sloc: cpp: 557,342; ansic: 146,850; fortran: 34,788; python: 16,572; sh: 2,187; lisp: 2,070; tcl: 993; java: 362; perl: 200; makefile: 129; csh: 81; pascal: 69; xml: 19; ruby: 10

Folder: Statistics

d .. (parent)
d d rwxr-xr-x 35 test
- - rw-r--r-- 5,560 BayesianClassifier.cxx
- - rw-r--r-- 6,824 BayesianClassifierInitializer.cxx
- - rw-r--r-- 14,287 BayesianPluginClassifier.cxx
- - rw-r--r-- 4,127 CMakeLists.txt
- - rw-r--r-- 4,882 EuclideanDistanceMetric.cxx
- - rw-r--r-- 9,703 ExpectationMaximizationMixtureModelEstimator.cxx
- - rw-r--r-- 3,426 GaussianMembershipFunction.cxx
- - rw-r--r-- 8,925 Histogram.cxx
- - rw-r--r-- 9,368 ImageEntropy1.cxx
- - rw-r--r-- 8,131 ImageHistogram1.cxx
- - rw-r--r-- 6,332 ImageHistogram2.cxx
- - rw-r--r-- 11,575 ImageHistogram3.cxx
- - rw-r--r-- 9,510 ImageHistogram4.cxx
- - rw-r--r-- 15,192 ImageMutualInformation1.cxx
- - rw-r--r-- 7,264 ImageToListSampleAdaptor.cxx
- - rw-r--r-- 13,533 KdTree.cxx
- - rw-r--r-- 16,128 KdTreeBasedKMeansClustering.cxx
- - rw-r--r-- 7,429 ListSample.cxx
- - rw-r--r-- 2,597 MaximumDecisionRule.cxx
- - rw-r--r-- 3,350 MaximumRatioDecisionRule.cxx
- - rw-r--r-- 7,554 MembershipSample.cxx
- - rw-r--r-- 7,485 MembershipSampleGenerator.cxx
- - rw-r--r-- 2,531 MinimumDecisionRule.cxx
- - rw-r--r-- 4,760 NeighborhoodSampler.cxx
- - rw-r--r-- 2,112 NormalVariateGenerator.cxx
- - rw-r--r-- 4,838 PointSetToAdaptor.cxx
- - rw-r--r-- 5,343 PointSetToListSampleAdaptor.cxx
- - rw-r--r-- 9,161 SampleSorting.cxx
- - rw-r--r-- 4,672 SampleStatistics.cxx
- - rw-r--r-- 5,583 SampleToHistogramFilter.cxx
- - rw-r--r-- 8,562 ScalarImageKmeansClassifier.cxx
- - rw-r--r-- 4,836 ScalarImageKmeansModelEstimator.cxx
- - rw-r--r-- 17,623 ScalarImageMarkovRandomField1.cxx
- - rw-r--r-- 7,542 SelectiveSubsampleGenerator.cxx
- - rw-r--r-- 8,445 Subsample.cxx
- - rw-r--r-- 6,872 WeightedSampleStatistics.cxx