Getting Started Example for PROC ACECLUS
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: ACECLGS */
/* TITLE: Getting Started Example for PROC ACECLUS */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: multivariate analysis, cluster analysis */
/* PROCS: ACECLUS */
/* DATA: */
/* */
/* SUPPORT: saswfk UPDATE: July 25, 2010 */
/* REF: PROC ACECLUS, Getting Started Example */
/* MISC: */
/* */
/****************************************************************/
data poverty;
input Birth Death InfantDeath Country &$20. @@;
datalines;
24.7 5.7 30.8 Albania 12.5 11.9 14.4 Bulgaria
13.4 11.7 11.3 Czechoslovakia 12 12.4 7.6 Former E. Germany
11.6 13.4 14.8 Hungary 14.3 10.2 16 Poland
13.6 10.7 26.9 Romania 14 9 20.2 Yugoslavia
17.7 10 23 USSR 15.2 9.5 13.1 Byelorussia
13.4 11.6 13 Ukrainian SSR 20.7 8.4 25.7 Argentina
46.6 18 111 Bolivia 28.6 7.9 63 Brazil
23.4 5.8 17.1 Chile 27.4 6.1 40 Columbia
32.9 7.4 63 Ecuador 28.3 7.3 56 Guyana
34.8 6.6 42 Paraguay 32.9 8.3 109.9 Peru
18 9.6 21.9 Uruguay 27.5 4.4 23.3 Venezuela
29 23.2 43 Mexico 12 10.6 7.9 Belgium
13.2 10.1 5.8 Finland 12.4 11.9 7.5 Denmark
13.6 9.4 7.4 France 11.4 11.2 7.4 Germany
10.1 9.2 11 Greece 15.1 9.1 7.5 Ireland
9.7 9.1 8.8 Italy 13.2 8.6 7.1 Netherlands
14.3 10.7 7.8 Norway 11.9 9.5 13.1 Portugal
10.7 8.2 8.1 Spain 14.5 11.1 5.6 Sweden
12.5 9.5 7.1 Switzerland 13.6 11.5 8.4 U.K.
14.9 7.4 8 Austria 9.9 6.7 4.5 Japan
14.5 7.3 7.2 Canada 16.7 8.1 9.1 U.S.A.
40.4 18.7 181.6 Afghanistan 28.4 3.8 16 Bahrain
42.5 11.5 108.1 Iran 42.6 7.8 69 Iraq
22.3 6.3 9.7 Israel 38.9 6.4 44 Jordan
26.8 2.2 15.6 Kuwait 31.7 8.7 48 Lebanon
45.6 7.8 40 Oman 42.1 7.6 71 Saudi Arabia
29.2 8.4 76 Turkey 22.8 3.8 26 United Arab Emirates
42.2 15.5 119 Bangladesh 41.4 16.6 130 Cambodia
21.2 6.7 32 China 11.7 4.9 6.1 Hong Kong
30.5 10.2 91 India 28.6 9.4 75 Indonesia
23.5 18.1 25 Korea 31.6 5.6 24 Malaysia
36.1 8.8 68 Mongolia 39.6 14.8 128 Nepal
30.3 8.1 107.7 Pakistan 33.2 7.7 45 Philippines
17.8 5.2 7.5 Singapore 21.3 6.2 19.4 Sri Lanka
22.3 7.7 28 Thailand 31.8 9.5 64 Vietnam
35.5 8.3 74 Algeria 47.2 20.2 137 Angola
48.5 11.6 67 Botswana 46.1 14.6 73 Congo
38.8 9.5 49.4 Egypt 48.6 20.7 137 Ethiopia
39.4 16.8 103 Gabon 47.4 21.4 143 Gambia
44.4 13.1 90 Ghana 47 11.3 72 Kenya
44 9.4 82 Libya 48.3 25 130 Malawi
35.5 9.8 82 Morocco 45 18.5 141 Mozambique
44 12.1 135 Namibia 48.5 15.6 105 Nigeria
48.2 23.4 154 Sierra Leone 50.1 20.2 132 Somalia
32.1 9.9 72 South Africa 44.6 15.8 108 Sudan
46.8 12.5 118 Swaziland 31.1 7.3 52 Tunisia
52.2 15.6 103 Uganda 50.5 14 106 Tanzania
45.6 14.2 83 Zaire 51.1 13.7 80 Zambia
41.7 10.3 66 Zimbabwe
;
proc sgplot data=poverty;
scatter y=Death x=Birth;
run;
proc aceclus data=poverty out=ace proportion=.03;
var Birth Death InfantDeath;
run;
proc cluster data=ace outtree=tree noprint method=ward;
var can1 can2 can3 ;
copy Birth--Country;
run;
proc tree data=tree out=new nclusters=3 noprint;
copy Birth Death InfantDeath can1 can2 ;
id Country;
run;
proc sgplot data=new;
scatter y=Death x=Birth / group=cluster;
keylegend / title="Cluster Membership";
run;
proc sgplot data=new;
scatter y=can2 x=can1 / group=cluster;
keylegend / title="Cluster Membership";
run;
