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1 Appendix 1

2 1 2006/9/22 S-Plus 2

3 1 2006/9/22 S-Plus 3

4 2 2006/9/22 S-Plus 4

5 3 POS ( personal eye academic ) JAN POS (Point of Sales) /9/22 S-Plus 5

6 4 K-means /9/22 S-Plus 6

7 4 500ml PET /9/22 S-Plus 7

8 1(1) 4 Trelis X4 X6 X7 date 1 4 (X7) (X4 X6) 2006/9/22 S-Plus 8

9 date (2) 4 X2 X3 X (X8) (X2 X3) /9/22 S-Plus 9

10 ( 1 2) 4 1or /9/22 S-Plus 10

11 4 X4 date 3 X4 2006/9/22 S-Plus 11

12 4 X6 ( 7 ) 7 date 4 X6 2006/9/22 S-Plus 12

13 4 X7 ( ) PET 5 X7 date 2006/9/22 S-Plus 13

14 5 2006/9/22 S-Plus 14

15 [1] J.M. T.J., S,(2002) [2] R.A. J.M. A.R., S I,(2000) [3] R.A. J.M. A.R., S II,(2002) [4] W.N. B.D., S-PLUS, (2001) [5] (2002) [6] MBA(2001) [7] (2003) [8], S-PLUS for windows, (2001) [9] (1998) [10] (2003) [11] (1995) [12] POS (2003) [13] ( ( 2005/11/6) [14] ( ( 2005/11/6) [15]( ( 2005/11/6) [16] ( ( 2005/11/6) [17]( ( 2005/11/6) 2006/9/22 S-Plus 15

16 Appendix 2006/9/22 S-Plus 16

17 Appendix(1) 2( ) 2006/9/22 S-Plus 17

18 Appendix(2) *** K-Means Clustering *** Centers: numeric matrix: 5 rows, 30 columns. [1,] [2,] [3,] [4,] [5,] X100 [1,] [2,] [3,] [4,] [5,] [1,] [2,] [3,] [4,] [5,] [1,] [2,] [3,] [4,] [5,] /9/22 S-Plus 18

19 Appendix(2) Clustering vector: [1] [49] [97] [145] [193] [241] [289] [337] [385] [433] [481] Within cluster sum of squares: [1] Cluster sizes: [1] Available arguments: [1] "cluster" "centers" "withinss" "size" 2006/9/22 S-Plus 19

20 Appendix(3)S-Plus 1. K-means NO (K-means Clustering Cluster Membership ) 2. 1 NO Trelis ( 1 2) () /9/22 S-Plus 20

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