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Applied Multivariate Quantitative Methods－Cluster Analysis
Date Issued
2006
Date
2006
Author(s)
Chie, Wei-Chu
DOI
246246/2006092815540127
Abstract
A 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 analysis
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 analysis
Publisher
臺北市:國立臺灣大學農藝學系
Type
learning object
File(s)
No Thumbnail Available
Name
multivariate10.ppt
Size
1.33 MB
Format
Microsoft Powerpoint
Checksum
(MD5):ea0471f8c3f20e2cdee2854e0e0c6e84