Each input row is assigned one of the three clusters as shown below.
KModesPredict Example Output Table (Columns 1-6)
cluster_id |
mpg |
disp |
hp |
drat |
drat |
0 |
-0.811459624 |
0.591244935 |
0.048313323 |
-0.835197792 |
-0.835197792 |
0 |
-1.607882616 |
1.946753815 |
0.850496796 |
-1.246659826 |
-1.246659826 |
0 |
-1.126710392 |
0.962396176 |
1.433902959 |
0.24956575 |
0.24956575 |
0 |
-0.894420352 |
1.688561647 |
1.215125648 |
-0.685575235 |
-0.685575235 |
0 |
-0.761683187 |
0.704204008 |
0.048313323 |
-1.564607761 |
-1.564607761 |
0 |
-0.960788935 |
1.043081228 |
1.433902959 |
-0.722980874 |
-0.722980874 |
0 |
0.217253407 |
0.220093694 |
-0.53509284 |
-0.96611753 |
-0.96611753 |
0 |
-0.230734526 |
1.043081228 |
0.412942174 |
-0.835197792 |
-0.835197792 |
0 |
-1.607882616 |
1.849931752 |
0.996348337 |
-1.115740088 |
-1.115740088 |
0 |
-0.612353876 |
0.363713088 |
0.485867945 |
-0.98482035 |
-0.98482035 |
0 |
-0.463024565 |
0.363713088 |
0.485867945 |
-0.98482035 |
-0.98482035 |
0 |
-0.811459624 |
0.363713088 |
0.485867945 |
-0.98482035 |
-0.98482035 |
0 |
-0.147773797 |
1.365821438 |
0.412942174 |
-0.96611753 |
-0.96611753 |
0 |
-0.3302874 |
-0.046166978 |
-0.60801861 |
-1.564607761 |
-1.564607761 |
1 |
-0.064813069 |
-0.691647397 |
0.412942174 |
0.043834734 |
0.043834734 |
1 |
-0.71190675 |
0.970464681 |
1.711020886 |
1.166003916 |
1.166003916 |
1 |
-0.844643915 |
0.567039419 |
2.746566825 |
-0.105787824 |
-0.105787824 |
1 |
0.150884825 |
-0.570619819 |
-0.53509284 |
0.567513685 |
0.567513685 |
1 |
0.150884825 |
-0.570619819 |
-0.53509284 |
0.567513685 |
0.567513685 |
2 |
0.449543447 |
-0.990182091 |
-0.783040459 |
0.473999587 |
0.473999587 |
2 |
2.042389431 |
-1.226589294 |
-1.176839619 |
0.90416444 |
0.90416444 |
2 |
1.196190002 |
-1.224168743 |
-1.176839619 |
0.90416444 |
0.90416444 |
2 |
1.710546517 |
-1.25079481 |
-1.381031775 |
2.493904115 |
2.493904115 |
2 |
1.710546517 |
-1.094265808 |
-0.491337378 |
0.324377029 |
0.324377029 |
2 |
0.449543447 |
-0.725535119 |
-0.753870151 |
0.604919325 |
0.604919325 |
2 |
0.715017777 |
-0.677930938 |
-1.235180235 |
0.174754472 |
0.174754472 |
2 |
-0.147773797 |
-0.509299179 |
-0.345485837 |
0.604919325 |
0.604919325 |
2 |
-0.380063837 |
-0.509299179 |
-0.345485837 |
0.604919325 |
0.604919325 |
2 |
0.980492108 |
-0.890939476 |
-0.812210767 |
1.55876313 |
1.55876313 |
2 |
2.291271616 |
-1.287909934 |
-1.191424773 |
1.166003916 |
1.166003916 |
2 |
0.233845553 |
-0.892553178 |
-0.724699843 |
0.193457291 |
0.193457291 |
2 |
0.217253407 |
-0.885291523 |
-0.549677994 |
0.960272899 |
0.960272899 |
KModesPredict Example Output Table (Columns 7-14)
wt |
qsec |
cyl |
vs |
am |
gear |
carb |
model |
0.22254417 |
-0.307088658 |
8 |
S |
automatic |
3 |
2 |
AMC Javelin |
2.077504765 |
0.073449451 |
8 |
S |
automatic |
3 |
4 |
Cadillac Fleetwood |
0.636460997 |
-1.364760755 |
8 |
S |
automatic |
3 |
4 |
Camaro Z28 |
2.174596366 |
-0.239934874 |
8 |
S |
automatic |
3 |
4 |
Chrysler Imperial |
0.309415603 |
-0.54772305 |
8 |
S |
automatic |
3 |
2 |
Dodge Challenger |
0.360516446 |
-1.124126363 |
8 |
S |
automatic |
3 |
4 |
Duster 360 |
-0.002299538 |
0.890487156 |
6 |
V |
automatic |
3 |
1 |
Hornet 4 Drive |
0.227654255 |
-0.46378082 |
8 |
S |
automatic |
3 |
2 |
Hornet Sportabout |
2.255335698 |
-0.016088927 |
8 |
S |
automatic |
3 |
4 |
Lincoln Continental |
0.871524874 |
-0.251127171 |
8 |
S |
automatic |
3 |
3 |
Merc 450SE |
0.524039143 |
-0.139204198 |
8 |
S |
automatic |
3 |
3 |
Merc 450SL |
0.575139986 |
0.084641749 |
8 |
S |
automatic |
3 |
3 |
Merc 450SLC |
0.641571082 |
-0.446992374 |
8 |
S |
automatic |
3 |
2 |
Pontiac Firebird |
0.248094592 |
1.326986752 |
6 |
V |
automatic |
3 |
1 |
Valiant |
-0.457097039 |
-1.314395417 |
6 |
S |
manual |
5 |
6 |
Ferrari Dino |
-0.048290296 |
-1.874010283 |
8 |
S |
manual |
5 |
4 |
Ford Pantera L |
0.360516446 |
-1.818048797 |
8 |
S |
manual |
5 |
8 |
Maserati Bora |
-0.610399567 |
-0.777165145 |
6 |
S |
manual |
4 |
4 |
Mazda RX4 |
-0.349785269 |
-0.46378082 |
6 |
S |
manual |
4 |
4 |
Mazda RX4 Wag |
-0.917004624 |
0.426006817 |
4 |
V |
manual |
4 |
1 |
Datsun 710 |
-1.039646647 |
0.907275602 |
4 |
V |
manual |
4 |
1 |
Fiat 128 |
-1.310481114 |
0.588295128 |
4 |
V |
manual |
4 |
1 |
Fiat X1-9 |
-1.637526508 |
0.375641479 |
4 |
V |
manual |
4 |
2 |
Honda Civic |
-1.741772228 |
-0.530934604 |
4 |
V |
manual |
5 |
2 |
Lotus Europa |
-0.068730634 |
2.826754593 |
4 |
V |
automatic |
4 |
2 |
Merc 230 |
-0.027849959 |
1.203871481 |
4 |
V |
automatic |
4 |
2 |
Merc 240D |
0.227654255 |
0.252526208 |
6 |
V |
automatic |
4 |
4 |
Merc 280 |
0.227654255 |
0.588295128 |
6 |
V |
automatic |
4 |
4 |
Merc 280C |
-1.100967659 |
-0.642857578 |
4 |
S |
manual |
5 |
2 |
Porsche 914-2 |
-1.4126828 |
1.147909994 |
4 |
V |
manual |
4 |
1 |
Toyota Corolla |
-0.76881218 |
1.20946763 |
4 |
V |
automatic |
3 |
1 |
Toyota Corona |
-0.44687687 |
0.420410668 |
4 |
V |
manual |
4 |
2 |
Volvo 142E |