Searching: "means" in the DMelt project

Search results in document titles:

  1. Jython Jython Example: clustering_tests.py [100%] Data mining/clustering Run k-means, fuzzy and hierarchical cluster algorithms
  2. Jython Jython Example: clustering_kmeans.py [100%] Data mining/clustering Run k-means cluster algorithms
  3. Jython Jython Example: clustering_km_spmf.py [79%] Data mining/clustering Running k-means clustering over input data file
  4. Jython Jython Example: stat_conf_interval.py [79%] Statistics/Limits Confidence interval for means with unknown standard deviation using the Student t distribution.
  5. Jython Jython Example: graph_medusa_kmeans.py [79%] Data mining/Graphs Reading a graph from the web and running k-means clustering

Search results in document content:

  1. Java API Java API: jminhep.algorithms package [100%]
  2. Java API Java API: medusa.spectral package [69%]
  3. Java API Java API: org.encog.ml.kmeans package [69%]
  4. Java API Java API: ca.pfv.spmf.algorithms.sequentialpatterns.fournier2008_seqdim.kmeans_for_fournier08 package [65%] ..patterns.fournier2008_seqdim.kmeans_for_fournier08 package..
  5. Java API Java API: jhplot.math.num package [60%]
  6. Wiki Wiki: http://jwork.org/wiki/DMelt:AI/Data Clustering [57%] ..the following algorithms: * k-means clustering analysis (single a..
  7. Jython Jython example: graph_medusa_kmeans.py [57%] ..graph_medusa_kmeans.py # data mining/graphs | p |..
  8. Java API Java API: org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer class [53%] ..th3.ml.clustering class multikmeansplusplusclusterer
  9. Java API Java API: jminhep.algorithms.KMeansAlg class [51%] ..jminhep.algorithms class kmeansalg java.lang.object jminhep.a..
  10. Java API Java API: org.jplot2d.image.ColorMap interface [50%] .. table. the max number is 15, means 32768 color mapping. see also..
  11. Java API Java API: ca.pfv.spmf.algorithms.sequentialpatterns.fournier2008_seqdim.kmeans_for_fournier08.AlgoKMeansWithSupport class [49%] ..patterns.fournier2008_seqdim.kmeans_for_fournier08 class algokmea..
  12. Java API Java API: org.ddogleg.clustering.kmeans.InitializeKMeans_F64 interface [48%] ..org.ddogleg.clustering.kmeans interface initializekmeans_f6..
  13. Java API Java API: ca.pfv.spmf.algorithms.clustering.kmeans.AlgoKMeans class [46%] ..v.spmf.algorithms.clustering.kmeans class algokmeans java.lang.ob..
  14. Java API Java API: ca.pfv.spmf.algorithms.sequentialpatterns.fournier2008_seqdim.kmeans_for_fournier08.AlgoKMeans_forFournier08 class [46%] ..patterns.fournier2008_seqdim.kmeans_for_fournier08 class algokmea..
  15. Java API Java API: joptsimple.internal package [46%]
  16. Java API Java API: math.geom2d.transform.Bijection2D interface [46%] ..to output. in this case, this means we can find the inverse trans..
  17. Java API Java API: org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer class [46%] ..s.math.stat.clustering class kmeansplusplusclusterer
  18. Java API Java API: org.encog.ml.ea.score.AdjustScore interface [46%] ..t the score according to some means. the resulting score is store..
  19. Java API Java API: org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer class [42%] ...math3.stat.clustering class kmeansplusplusclusterer
  20. Java API Java API: org.ddogleg.clustering.kmeans.InitializeStandard_F64 class [40%] ..org.ddogleg.clustering.kmeans class initializestandard_f64 ..
  21. Jython Jython example: matrix_ejml_vis.py [40%] ..the matrix's state. # block means an element is zero. red posit..
  22. Java API Java API: javanpst.examples.TestClassification class [40%] ..native hypotheses of no equal means, and page test to go further,..
  23. Java API Java API: javanpst.examples.TestLocation class [40%] ..ple to test the difference of means between two samples, using wi..
  24. Java API Java API: org.jplot2d.element.impl.IntermediateCacheEx interface [40%] ..ass implements this interface means it maintains a intermediate c..
  25. Java API Java API: org.jscience.economics.money.Money interface [40%] ..nge, a measure of value, or a means of payment. the units for mon..
  26. Java API Java API: org.ddogleg.clustering.FactoryClustering class [40%] .. gmm cluster. static standardkmeans_f64 kmeans_f64(kmeansinitiali..
  27. Java API Java API: org.encog.ml.kmeans.KMeansClustering class [40%] ..org.encog.ml.kmeans class kmeansclustering java.l..
  28. Java API Java API: org.tmatesoft.sqljet.core.internal.SqlJetSyncFlags class [40%] ..ync_dataonly flag is used, it means that the sync operation only ..
  29. Java API Java API: org.supercsv.cellprocessor.FmtNumber class [38%] ..cters are defined as : 0 - means digit # - means digit, zero..
  30. Java API Java API: ca.pfv.spmf.algorithms.sequentialpatterns.clasp_AGP.tries.TrieNode class [35%] ..ir) creation of a trienode by means of only the pair component tr..
  31. Java API Java API: hephysics.jet.JetN2 class [35%] .. mode},kt_j^{2* mode})). kt : means inclusive kt jet algorithm ca..
  32. Java API Java API: visad.bom.TCData class [35%]
  33. Java API Java API: jhplot.stat.Anova class [35%] ..ue for your data. double[] getmeans() returns an array of means f..
  34. Java API Java API: medusa.georgios.ClusteringAlgorithms.KMeans2 class [35%] ..s.clusteringalgorithms class kmeans2 java.lang.object medusa.geor..
  35. Java API Java API: medusa.spectral.KMeans class [35%] ..medusa.spectral class kmeans java.lang.object medusa.spect..
  36. Java API Java API: org.tmatesoft.sqljet.core.internal.SqlJetDeviceCharacteristics class [35%] ..to. the iocap_atomic property means that all writes of any size a..
  37. Jython Jython example: stat_ecen1.py [34%] ..inear regression and weighted means in quadrants ss.process(1) ..
  38. Jython Jython example: mining_alg_fi2.py [34%] ..ata) file.close() # use 0.4: means a minsup of 2 transaction (we..
  39. Jython Jython example: jehep_latex.py [34%] ..}{2*\sqrt(x)} $$ """ # 1 means to display html file view.ge..
  40. Jython Jython example: clustering_km_spmf.py [34%] .. 1.0 | s.chekanov | running k-means clustering over input data fi..
  41. Jython Jython example: stat_conf_interval.py [34%] ..ov | confidence interval for means with unknown standard deviati..
  42. Jython Jython example: stat_statshape.py [34%] ..inear regression and weighted means in quadrants ss.process(1) da..
  43. Java API Java API: boofcv.alg.segmentation.slic.SegmentSlic.Pixel class [34%] ..entslic.pixelextends object k-means clustering information for ea..
  44. Java API Java API: org.apache.derby.iapi.error.StandardException.BadMessageArgumentException class [34%] ..is exception isn't caught, it means that you are using standardex..
  45. Java API Java API: org.encog.ml.prg.train.rewrite.RewriteAlgebraic class [34%] ..e simple forms. this is by no means a complete set of rewrite rul..
  46. Java API Java API: org.encog.util.normalize.target.NormalizationStorage interface [34%] ..xtends serializable defines a means by which normalized data can ..
  47. Java API Java API: org.jquantlib.math.integrals.SegmentIntegral class [34%] .. between and is calculated by means of the trapezoid formula wher..
  48. Java API Java API: vmm3d.core.VMMSave class [34%] ... here, a "property" variable means an instance variable for whic..
  49. Java API Java API: jhpro.stat.MomentsFacNorm class [32%] ..d. if they are set to 0, this means that there is no enough event..

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