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Agglomerative hierarchical clustering methods/procedures
Methods of cluster analysis that start with each individual in the separate cluster and then, in the series of steps, combine the individuals and later, it clusters into new larger clusters until a final stage is attained where all individuals are the members of a single group. At each stage or phase the individuals or clusters which are 'closest', in accordance to some particular definition of the distance are attached. The whole procedure can be summarized by the dendrogram. Solutions consequent to particular numbers of clusters are found by 'cutting' the dendrogram at the suitable level. See also average linkage, Ward's method, single linkage, complete linkage, K-means clusterAnalysis, Mojena's test and divisive methods or procedure.
Long before Bohr gave his theory of hydrogen atom, various scientists had observed experimentally, the spectral series of hydrogen atom. Bohr offered a theoretical explanation of t
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Assignment on objective of cost accounting briefly discuss.
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List all possible simple random samples of size n = 2 that can be selected from the population {0, 1, 2, 3, 4}. Calculate 2 s for the population and Var y( ) for the sample.
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Sequential Sampling: This is somewhat complex sample design where the ultimate size of the sample is not fixed in advance but is determined according to mathematical decisions on t
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