Cluster Analysis Example 8 Dental Variables data clus; input mammal $ 1-16 @21(v1-v8) (1.0); cards; brnbat 23113333 mole 32103333 silbat 23112333 pigbat 23112233 houbat 23111233 redbat 13111233 pika 21002233 rabbit 21003233 beaver 11002133 grndhog 11002133 grsquir 11001133 houmouse 11000033 porcupin 11001133 wolf 33114423 bear 33114423 raccoon 33114432 marten 33114412 weasel 33113312 wolverin 33114412 badger 33113312 rivott 33114312 seaott 32113312 jaguar 33113211 cougar 33113211 furseal 32114411 sealion 32114411 grseal 32113322 eleseal 21114411 reindeer 04103333 elk 04103333 deer 04003333 moose 04003333 ; proc cluster method=average; id mammal; var v1-v8; title 'Cluster analysis of mammalian dental characteristics'; proc tree; run; ----------------------------------------------------------------------------- Cluster analysis of mammalian dental characteristics Average Linkage Cluster Analysis Number Frequency Normalized of of New RMS Clusters ----------Clusters Joined----- Cluster Distance Tie 31 beaver grndhog 2 0.000000 T 30 grsquir porcupin 2 0.000000 T 29 wolf bear 2 0.000000 T 28 marten wolverin 2 0.000000 T 27 weasel badger 2 0.000000 T 26 jaguar cougar 2 0.000000 T 25 furseal sealion 2 0.000000 T 24 reindeer elk 2 0.000000 T 23 deer moose 2 0.000000 22 brnbat silbat 2 0.276600 T 21 pigbat houbat 2 0.276600 T 20 pika rabbit 2 0.276600 T 19 CL31 CL30 4 0.276600 T 18 CL28 rivott 3 0.276600 T 17 CL27 seaott 3 0.276600 T 16 CL24 CL23 4 0.276600 15 CL21 redbat 3 0.338765 14 CL17 grseal 4 0.357090 13 CL29 raccoon 3 0.391172 T 12 CL25 eleseal 3 0.391172 11 CL18 CL14 7 0.429993 10 CL22 CL15 5 0.492214 9 CL20 CL19 6 0.517472 T 8 CL11 CL26 9 0.533078 7 CL8 CL12 12 0.616202 6 mole CL13 4 0.618497 5 CL9 houmouse 7 0.686876 4 CL6 CL7 16 0.709702 3 CL10 CL16 9 0.806422 2 CL3 CL5 16 1.025514 1 CL2 CL4 32 1.195967 Name of Observation or Cluster
|bat-----------|deer----------|rodent-----------|carnivore------------------------------------- r p h w e g g o o r o f s e b s p h r i r b r r r u a m l r w b s g j c u e l r i i o e n m a e n s c m c a v i e a e r a o r a e n l g u d d d o p b a d q u o m w b c r e v a d a s g u s l s b b b b b e e e o i b v h u p u o o e o t r o s g o e u g e i e a a a a a e l e s k i e o i i s l l a o e i t e e t a a a a o a t t t t t r k r e a t r g r n e e f r n n n t l r t l r r l n l A 1.2 +XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX v |XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX e |XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX r |XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX a |XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX g 1 +XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX e |XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX |XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX D |XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX i |XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX s 0.8 +XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX t |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX a |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX n |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX c |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXX . XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX e 0.6 +XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXX . XXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXX . . XXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX B |XXXXXXXXXXXXX XXXXXXXXXX XXXXXXXXXXXXXXXX . . XXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX e |XXXXXXXXXXXXX XXXXXXXXXX XXXX XXXXXXXXXX . . XXXXXXX XXXXXXXXXXXXXXXXXXX XXXX XXXXXXX t |XXXX XXXXXXX XXXXXXXXXX XXXX XXXXXXXXXX . . XXXXXXX XXXXXXXXXXXXXXXXXXX XXXX XXXXXXX w 0.4 +XXXX XXXXXXX XXXXXXXXXX XXXX XXXXXXXXXX . . XXXXXXX XXXXXXX XXXXXXXXXX XXXX XXXXXXX e |XXXX XXXXXXX XXXXXXXXXX XXXX XXXXXXXXXX . . XXXX . XXXXXXX XXXXXXXXXX XXXX XXXX . e |XXXX XXXXXXX XXXXXXXXXX XXXX XXXXXXXXXX . . XXXX . XXXXXXX XXXXXXX . XXXX XXXX . n |XXXX XXXX . XXXXXXXXXX XXXX XXXXXXXXXX . . XXXX . XXXXXXX XXXXXXX . XXXX XXXX . |. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . C 0.2 +. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . l |. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . u |. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . s |. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . t |. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . e 0 +. . . . . XXXX XXXX . . XXXX XXXX . . XXXX . XXXX . XXXX . . XXXX XXXX . r s