LINE 发表于 2025-3-26 23:39:34
John Fronimopoulos,John Lascaratosups. The situation is seemingly different from that of discriminant analysis considered in Chapter 6 where both the number of groups and group membership are known. However, there is much in common between our procedure for clustering and the methods we used in the earlier chapters.CRUC 发表于 2025-3-27 05:06:09
Discriminant Analysis,f the analysis is to develop a rule for the allocation of a new observation of unknown origin to the most likely group. For example, in the case of the Swiss bank notes there are two groups, genuine notes and forgeries. The purpose of the analysis would be to develop a rule for determining whether or not a new note was genuine.完成才会征服 发表于 2025-3-27 08:50:22
Cluster Analysis,ups. The situation is seemingly different from that of discriminant analysis considered in Chapter 6 where both the number of groups and group membership are known. However, there is much in common between our procedure for clustering and the methods we used in the earlier chapters.把手 发表于 2025-3-27 11:28:19
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Multivariate Transformations to Normality, why a transformation might be expected to be helpful in some examples. If the data arise from a counting process, they often have a Poisson distribution and the square root transformation will provide observations with an approximately constant variance, independent of the mean. Similarly, concentrOrnament 发表于 2025-3-28 01:49:23
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Cluster Analysis,ups. The situation is seemingly different from that of discriminant analysis considered in Chapter 6 where both the number of groups and group membership are known. However, there is much in common between our procedure for clustering and the methods we used in the earlier chapters.Cumbersome 发表于 2025-3-28 12:16:24
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