clusterSim: Searching for Optimal Clustering Procedure for a Data Set

Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas, data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data).

Install the latest version of this package by entering the following in R:
install.packages("clusterSim")
AuthorMarek Walesiak <marek.walesiak@ue.wroc.pl> Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Date of publication2017-03-31 09:55:16 UTC
MaintainerAndrzej Dudek <andrzej.dudek@ue.wroc.pl>
LicenseGPL (>= 2)
Version0.45-2
http://keii.ue.wroc.pl/clusterSim

View on CRAN

Functions

Files

inst
inst/pdf
inst/pdf/distSM_details.pdf
inst/pdf/IndexGap_details.pdf
inst/pdf/replicationMod_details.pdf
inst/pdf/indexH_details.pdf
inst/pdf/indexS_details.pdf
inst/pdf/indexG3_details.pdf
inst/pdf/HINoVSymbolic_details.pdf
inst/pdf/distBC_details.pdf
inst/pdf/clusterGen_details.pdf
inst/pdf/indexDB_details.pdf
inst/pdf/HINoVMod_details.pdf
inst/pdf/indexG2_details.pdf
inst/pdf/distSymbolic_details.pdf
inst/pdf/patternGDM1_details.pdf
inst/pdf/clusterSim_details.pdf
inst/pdf/distGDM_details.pdf
inst/pdf/dataNormalization_details.pdf
inst/pdf/indexG1_details.pdf
inst/pdf/patternGDM2_details.pdf
inst/pdf/speccl_details.pdf
inst/pdf/indexKL_details.pdf
inst/pdf/comparingPartitions_details.pdf
inst/csv
inst/csv/symbolic.csv
inst/doc
inst/doc/distSM_details.pdf
inst/doc/IndexGap_details.pdf
inst/doc/replicationMod_details.pdf
inst/doc/indexH_details.pdf
inst/doc/indexS_details.pdf
inst/doc/ordinalToMetric_details.pdf
inst/doc/indexG3_details.pdf
inst/doc/HINoVSymbolic_details.pdf
inst/doc/distBC_details.pdf
inst/doc/clusterGen_details.pdf
inst/doc/indexDB_details.pdf
inst/doc/HINoVMod_details.pdf
inst/doc/indexG2_details.pdf
inst/doc/distSymbolic_details.pdf
inst/doc/patternGDM1_details.pdf
inst/doc/clusterSim_details.pdf
inst/doc/distGDM_details.pdf
inst/doc/dataNormalization_details.pdf
inst/doc/indexG1_details.pdf
inst/doc/patternGDM2_details.pdf
inst/doc/speccl_details.pdf
inst/doc/indexKL_details.pdf
inst/doc/comparingPartitions_details.pdf
tests
tests/testthat.R
tests/testthat
tests/testthat/test_db.R tests/testthat/test_comparing.R
src
src/clusterSim.h
src/clusterSim.cpp
NAMESPACE
data
data/data_patternGDM1.rda
data/data_symbolic.rda
data/data_patternGDM2.rda
data/data_ordinal.rda
data/data_mixed.rda
data/data_binary.rda
data/data_ratio.rda
data/data_interval.rda
data/data_nominal.rda
R
R/Last.Lib.r R/HINoV.Symbolic.r R/index.KL.r R/index.G2.r R/index.G1.r R/index.G1d.r R/dist.SM.r R/ordinalToMetric.r R/data.Normalization.r R/pattern.GDM2.r R/replication.Mod.r R/dist.GDM.r R/First.Lib.r R/cluster.Gen.r R/index.G3.r R/cluster.Description.r R/index.DB.r R/HINoV.Mod.r R/index.GAP.r R/reszta.r R/pattern.GDM1.r R/comparing.Partitions.r R/index.H.r R/speccl.r R/dist.BC.r R/index.S.r R/dist.Symbolic.r R/shapes.r R/cluster.Sim.r
MD5
DESCRIPTION
man
man/index.G3.rd
man/HINoV.Symbolic.rd
man/comparing.Partitions.rd
man/data_ratio.rd
man/cluster.Gen.rd
man/shapes.circles2.rd
man/plotCategorial3d.rd
man/cluster.Sim.rd
man/ordinalToMetric.rd
man/data_interval.rd
man/plotCategorial.rd
man/data_mixed.rd
man/index.S.rd
man/data_patternGDM2.rd
man/index.G2.rd
man/replication.Mod.rd
man/data_patternGDM1.rd
man/HINoV.Mod.rd
man/index.G1.rd
man/data_binary.rd
man/dist.BC.rd
man/index.GAP.rd
man/shapes.circles3.rd
man/index.H.rd
man/cluster.Description.rd
man/dist.SM.rd
man/shapes.blocks3d.rd
man/shapes.worms.rd
man/pattern.GDM1.rd
man/data_symbolic.rd
man/initial.Centers.rd
man/index.DB.rd
man/data_ordinal.rd
man/index.KL.rd
man/pattern.GDM2.rd
man/dist.GDM.rd
man/data_nominal.rd
man/plotInterval.rd
man/speccl.rd
man/shapes.two.moon.rd
man/dist.Symbolic.rd
man/data.Normalization.rd
INDEX
Spark Online Training by Edureka

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