The training input has as dimensions five attributes of personal computers—price, speed, hard disk size, RAM, and screen size. The training table has 5008 rows, categorized into eight price groups, which the following table describes.
KNN Example Training Table computers_train1_clustered
id |
price |
speed |
hd |
ram |
screen |
computer_category |
1 |
1499 |
25 |
80 |
4 |
14 |
SPECIAL |
2 |
1795 |
33 |
85 |
2 |
14 |
SUPER |
3 |
1595 |
25 |
170 |
4 |
15 |
SPECIAL |
4 |
1849 |
25 |
170 |
8 |
14 |
SUPER |
5 |
3295 |
33 |
340 |
16 |
14 |
HYPER |
6 |
3695 |
66 |
340 |
16 |
14 |
UBER |
7 |
1720 |
25 |
170 |
4 |
14 |
SPECIAL |
8 |
1995 |
50 |
85 |
2 |
14 |
SUPER |
9 |
2225 |
50 |
210 |
8 |
14 |
SUPER |
12 |
2605 |
66 |
210 |
8 |
14 |
MEGA |
13 |
2045 |
50 |
130 |
4 |
14 |
SUPER |
14 |
2295 |
25 |
245 |
8 |
14 |
MEGA |
16 |
2225 |
50 |
130 |
4 |
14 |
SUPER |
17 |
1595 |
33 |
85 |
2 |
14 |
SPECIAL |
18 |
2325 |
33 |
210 |
4 |
15 |
MEGA |
19 |
2095 |
33 |
250 |
4 |
15 |
SUPER |
20 |
4395 |
66 |
452 |
8 |
14 |
UBER |
... |
... |
... |
... |
... |
... |
... |
KNN Example Price Categories
clusterid |
category |
0 |
SPECIAL |
1 |
UBER |
2 |
MEGA |
3 |
ULTRASUPER |
4 |
SUPER |
5 |
EXTREME |
6 |
HYPER |
7 |
ULTRA |
The test table has more than 1000 rows.
KNN Example computers_test1
id |
price |
speed |
hd |
ram |
screen |
10 |
2575 |
50 |
210 |
4 |
15 |
11 |
2195 |
33 |
170 |
8 |
15 |
15 |
2699 |
50 |
212 |
8 |
14 |
29 |
3095 |
33 |
340 |
16 |
14 |
30 |
3244 |
66 |
245 |
8 |
14 |
38 |
3795 |
66 |
500 |
8 |
14 |
45 |
3495 |
50 |
340 |
16 |
14 |
46 |
2695 |
33 |
245 |
8 |
14 |
48 |
1749 |
25 |
120 |
4 |
14 |
51 |
2499 |
33 |
170 |
4 |
14 |
52 |
2395 |
33 |
130 |
4 |
14 |
59 |
2945 |
66 |
210 |
8 |
17 |
65 |
2195 |
66 |
85 |
2 |
14 |
66 |
1495 |
25 |
170 |
4 |
14 |
70 |
3095 |
66 |
245 |
8 |
14 |
86 |
1999 |
33 |
120 |
8 |
14 |
91 |
2975 |
50 |
210 |
4 |
17 |
92 |
2145 |
66 |
130 |
4 |
14 |
93 |
2420 |
33 |
170 |
8 |
15 |
94 |
2505 |
50 |
210 |
8 |
14 |
104 |
2999 |
66 |
330 |
4 |
15 |
... |
... |
... |
... |
... |
... |