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A hierarchical clustering analysis using the median clustering method was then performed on the distance matrix to separate loci into those that contribute to group divergence and those that do not.
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For all the results given in related tables in this study, one can consider applying Ward's or Median clustering methods and keep away from applying the Nearest clustering method for all distance measures to perform a hierarchical clustering analysis to obtain better results according to Rand's C statistics.
This recommended data weighting method is based on the combination of the measures of central tendency composed of mean value, harmonic value, mode and median along with the k-means clustering method.
In order to identify the similarity structure pattern between personal genomes and diseases according to subpopulations, we clustered individuals in the data set based on mutual information between VSiftVar and VDisGene using a hierarchical clustering method (distance measure, Manhattan; linkage method, Median).
The clustered maps use an agglomerative, hierarchical clustering method.
The median method in the CMLM does not correspond to any typical clustering method.
Since the goal is to derive two distinct non-overlapping groups of occupations, namely graduate and non-graduate jobs, we apply k-medians clustering, which is a variant of the well-established k-means clustering method.
Genes were clustered according to their expression patterns using hierarchical clustering method.
CHI (chi-square) clustering method.
Motion clustering method is proposed to find motion clusters.
Unsupervised hierarchical clustering of filtered, normalised, and median-centred log2-transformed data was performed by using GenePattern [44] with a Pearson correlation distance measure and an average linkage clustering method, and viewed by using Java TreeView 1.1.1 [45].
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