國立臺灣大學農藝學系Liu, Jen-PeiJen-PeiLiuChie, Wei-ChuWei-ChuChie2006-09-282018-07-112006-09-282018-07-112006http://ntur.lib.ntu.edu.tw//handle/246246/2006092815540127A sample of n objects, each with measurements of p variables To use the measurements of p variables to devise a scheme for grouping n objects into classes Similar objects are in the same class In general, the number of clusters is not known in advance – unsupervised analysis The number of class is pre-specified in the discriminant analysis and is based on a predicted function– supervised analysisapplication/ppt1395712 bytesapplication/vnd.ms-powerpointzh-TWApplied Multivariate Quantitative Methods-Cluster Analysislearning objecthttp://ntur.lib.ntu.edu.tw/bitstream/246246/2006092815540127/1/multivariate10.ppt