Initialization Algorithms for Partitioning Cluster Analysis

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Documentation for package ‘inaparc’ version 1.2.0

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

inaparc-package	Initialization Algorithms for Partitioning Cluster Analysis
aldaoud	Initialization of cluster prototypes using Al-Daoud's algorithm
ballhall	Initialization of cluster prototypes using Ball & Hall's algorithm
crsamp	Initialization of cluster prototypes using the centers of random samples
figen	Initialization of membership degrees over class range of a selected feature
firstk	Initialization of cluster prototypes using the first k objects
forgy	Initialization of cluster prototypes using Forgy's algorithm
get.algorithms	Get the names of algorithms in 'inaparc'
hartiganwong	Initialization of cluster prototypes using Hartigan-Wong's algorithm
imembones	Initialization of a crisp membership matrix using a selected cluster
imembrand	Initialization of membership matrix using simple random sampling
inofrep	Initialization of cluster prototypes using Inofrep algorithm
inscsf	Initialization cluster prototypes using Inscsf algorithm
insdev	Initialization of cluster prototypes using Insdev algorithm
is.inaparc	Checking the object class for 'inaparc'
kkz	Initialization of cluster prototypes using KKZ algorithm
kmpp	Initialization of cluster prototypes using K-means++ algorithm
ksegments	Initialization of cluster prototypes using the centers of <k> segments
ksteps	Initialization of cluster prototypes using the centers of <k> blocks
lastk	Initialization of cluster prototypes using the last <k> objects
lhsmaximin	Initialization of cluster prototypes using Maximin LHS
lhsrandom	Initialization of cluster prototypes using random LHS
maximin	Initialization of cluster prototypes using Maximin algorithm
mscseek	Initialization of cluster prototypes using the modified SCS algorithm
rsamp	Initialization of cluster prototypes using simple random sampling
rsegment	Initialization of cluster prototypes using a randomly selected segment
scseek	Initialization of cluster prototypes using SCS algorithm
scseek2	Initialization of cluster prototypes using SCS algorithm over a selected feature
spaeth	Initialization of cluster prototypes using Spaeth's algorithm
ssamp	Initialization of cluster prototypes using systematic random sampling
topbottom	Initialization of cluster prototypes using the top and bottom objects
uniquek	Initialization of cluster prototypes over the unique values
ursamp	Initialization of cluster prototypes using random sampling on each future