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The procedure for clustering variables in the multivariate data, which forms the clusters by performing one or other of the below written three operations:
* combining two variables, neither of which belongs to any of the existing cluster,
* adding to the already existing cluster a variable not previously in any of the cluster,
* combining two clusters to form the larger cluster.
It can be used as an alternative to the factor analysis.
Principal components analysis is a process for analysing multivariate data which transforms original variables into the new ones which are uncorrelated and account for decreasing
Principal components regression analysis is a process often taken in use to overcome the problem of multicollinearity in the regression, when simply deleting a number of the expla
Geographical information system (gis): The software and hardware configurations through which the digital georeferences are processed and displayed. Used to recognize the geograph
Uncertainty analysis is the process for assessing the variability in the outcome variable that is due to the uncertainty in estimating the values of input parameters. A sensitivit
Cellular proliferation models : Models are used to describe the growth of the cell populations. One of the example is the deterministic model where N(t) is the number of cel
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