The community-based survey was conducted using stratified multistage cluster sampling of 77 clusters utilising population proportion to size sampling in the Kandy district.
In [18], curve simplification, UnS and clustering methods were utilised as reference methods for performance evaluation and comparison of the proposed matrix factorisation methods.
However, most cluster indexing-based steganographic schemes utilise less efficient clustering algorithms for embedding data, which causes redundancy and leaves room for increasing the embedding capacity further.
A Bayesian-clustering program utilising a Markov Chain Monte Carlo (MCMC) approach, STRUCTURE version 2.3.4 [ 23], was used to elucidate the structure of genetic variation and identify the number of genetically distinct clusters or gene pools.
Pre-clusters were then grouped using a hierarchical clustering algorithm that created a range of clustering solutions, which were reduced by utilising the Bayesian Information Criterion (BIC) to find the optimum solution.
To study the gene expression profiles, an average linkage hierarchical cluster analysis utilising a correlation metric of similarity for clustering genes was performed as described by Eisen et al (1998).
Multithreading k-means clustering is natively supported by both R and Python, we are therefore able to utilise eight cores.
21 However, as even small intraclass correlations can inflate type-1 errors, clustered robust SEs were utilised.
As there were multiple orders per patient, robust SEs, clustered by patient, were utilised (see table 5).
Future work will involve paralleling different stages of the algorithm (such as step 2 and 3 of the segmentation, the leaves segmentations, or the computation of the metrics from Eq. (1) in the plant alignment) and utilising cluster and cloud computing technologies to access more important computational resources.
