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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.
In a mathematics examination the average grade was 82 and the standard deviation was 5. all students with grade from 88 to 94 received grade of B. if the grade are approximately no
Consider the two events A and B with P(A) = 0.4 and P(B) = 0.3. (a) If A and B are independent then compute the probability that Both A and B happen
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P3-2A (d)
The foundation sales whereby income are acknowledged when gained and considerable regardless of when collected; and costs are noted on a corresponding basis when suffered. All amaz
what is the advantages of face-to-face interview?
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