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