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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.
A basis used in processing the quantity of advantages to be created regularly to a finance or consideration so that the complete advantages plus the complicated income thereon will
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The poll interviewed 1500 persons rather than 1060, for 95% confidence.
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define standard deviation. their purpose,uses,advantages nd disadvantages,examples ,formula for grouped and ungrouped.
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