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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 marketing research field surveys are commonly used to collect primary data from the respondents. 1. Through Personal Interviews: The investigator follows a rigid proced
proof that the square of a normal distribution will give a chi-square
How can costs be classified by objective?
on july 2,ali collected cash of Rs 700 from accounts receivable ,july 9 purchased gym equipments for 2175, paying 5500 in cash and charging the remainder on the company 30 day acco
Skewness It is the comparison of the mean, median and mode can reveal information about the characteristics of skewness. Definition The distribution of the data is ske
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Ask questionadvantage and disadvantage of frequency distribution #Minimum 100 words accepted#
Prior to the last payroll period of the calendar year, the cumulative earnings of Employer A were $105000. The earnings for the last payroll period of the year which will be paid o
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A and B throw with one dice for a prize of Rs.11 which is to be won by a player who first throws 6. If A has the first throw, what are their respective expectations?
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