Description Usage Arguments Value Examples
kluster is the main kluster function. If an algorithm is not pre-defined, it will use the best implementation of kluster (most frequent product on BIC) for the production purpose. If a sample size is not pre-defined, it will use the recommended sample size (if n> 3000, sample size = 500, otherwise, sample size = 100) as default. If an iteration is not pre-set, it will iterate 100 times, as recommended through our simulation analyses.
1 |
data |
|
iter_klust |
number of iterations for clustering with sample_n size x – present to 100 |
smpl |
size of the sample_n to be taken with replacement out of data – preset to 100 |
algorithm |
select analysis algorithm from BIC, PAMK, CAL, and AP – preset to BIC |
returns the following values:
sim |
returns both the most frequent and the average approximated number of clusters for the selected algorithm |
m_bic_k,m_cal_k,m_ap_k,m_pam_k |
the average approximated number of cluster for each selected algorithm |
f_bic_k,f_cal_k,f_ap_k,f_pam_k |
the most frequent approximated number of cluster for each selected algorithm |
1 2 3 |
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