Datamining r 6th

751 views

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
751
On SlideShare
0
From Embeds
0
Number of Embeds
57
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Datamining r 6th

  1. 1. R:sesejun@is.ocha.ac.jp 2011/01/06
  2. 2. > usps.dist<-dist(usps.sub, method="euclidean")> usps.dist img_0_00_00 img_1_00_00 img_2_00_00 img_3_00_00img_1_00_00 2517.392img_2_00_00 2172.201 2204.662img_3_00_00 2073.739 2128.806 2225.389img_4_00_00 2239.165 1915.576 2220.492 1928.101img_5_00_00 1981.039 2472.299 2179.280 2400.684...> usps.hclust<-hclust(usps.dist,method="single")> plot(usps.hclust)
  3. 3. > library(cluster)> usps.div<-diana(usps.sub, metric="euclidian",stand=TRUE)> print(usps.div)Merge: [,1] [,2] [1,] -8 -10 [2,] -2 -7 [3,] -4 -5 [4,] 1 -9...> plot(usps.div) <Return> : <Return> :
  4. 4. 1. DIANA usps_cluster_large.tab • 1,22.• 1 26

×