R: Initialization Algorithms for Partitioning Cluster Analysis

# Initialization Algorithms for Partitioning Cluster Analysis

## Documentation for package ‘inaparc’ version 1.2.1

- 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