Man pages for Mthrun/Distances
Functions For Different Distance Measures

bestBuddyBestbuddy
CosinusDistanceKosinus Distanz
dbt.Distances-packagePackage containing functions for distance calculations
dist2AllDistances to all data points
dist2AllCBDistance to all, using City Block metric
dist2AllEuclidDistances to all data points
dist2AllM3Distance to all, using Minkowski 3 metric
dist2AllRDrelative distance to all.
distA2BDistances a to b
DistanceMatrixPairwise distance between pairs of objects
distancesDistances~~
distancesCBDistances (City Block)
distancesDistributionDistance Distribution
distancesM3Distance Minkowski 3
distancesneighborsNeighbours
distancesRDRelatie Distances
Dist-packageDistance functions
EuclidDist2allEuclidic distance of x to all rows in Data
fastPdistfastPdist
fastPdistCfastPdist
InnerVariableDifferencesInnerVariableDifferences
jaccardComputes dissimilarity indices Jaccard
knneighborKNNeighbor
knneighborDistancesreturn the k indices and the k distances of the k nearest...
knneighborRDKNNeighbor using relative distances
knneighborsKNNeighbors
knneighborsRDKNNeighbors
KullbLeiblKLDKullback-Leibler divergence
MahalanobisPairwise Squared Generalized Mahalanobis Distances
nearestNearest
nearestRDNearest Relative Distance
pdistToroidCalculate toroid Euclidean Distances
pointsForDistancesPoints for Distances
relDistance2AllRelativeDistance2All
relDistancesRelative Distances
sequentialDistancesSequentialDistances
squareformFormat or generate a distance matrix.
supportRadiusVotingSupport Radius Voting
tfidfinverste document frequency term frequency
tfidfdistancetfidfdistance
tfidfGene2TermdistancetfidfGene2Termdistance
ToroidDist2AllCalculate toroid Euclidean Distances
VariablePrecisionVariablePrecision
WeightedEuclideanWeighted Eulidean Distance Matrix
Mthrun/Distances documentation built on Feb. 4, 2020, 8:39 p.m.