There are 9 types of robot sensors available on the market (A, B, C, D, E, F, G, H, I) that are produced by two manufacturers X and Y (we don’t know which sensor is produced by which one of the manufacturers). We have done some lab tests to measure the performance of each robot sensor in terms of two features/attributes. These two features include: “accuracy” (closeness of the measurements to a specific value) and “precision” (closeness of the measurements to each other). The scores of each robot sensor with respect to each feature (in terms of a quantitative value between 1 and 5 are reported in below Table. Type of sensor Accuracy Precision A 5 3 B 5 2 C 3 1 D 2 1 E 4 2 F 2 2 G 2 3 H 1 3 I 5 4 Using K-means clustering algorithm, could you predict which robot sensor have been produced by manufacturer X and which one(s) by manufacturer Y?
Q1 - There are 9 types of robot sensors available on the market (A, B, C, D, E, F, G, H, I) that are produced by two manufacturers X and Y (we don’t know which sensor is produced by which one of the manufacturers). We have done some lab tests to measure the performance of each robot sensor in terms of two features/attributes. These two features include: “accuracy” (closeness of the measurements to a specific value) and “precision” (closeness of the measurements to each other). The scores of each robot sensor with respect to each feature (in terms of a quantitative value between 1 and 5 are reported in below Table.
Type of sensor |
Accuracy |
Precision |
A |
5 |
3 |
B |
5 |
2 |
C |
3 |
1 |
D |
2 |
1 |
E |
4 |
2 |
F |
2 |
2 |
G |
2 |
3 |
H |
1 |
3 |
I |
5 |
4 |
Using K-means clustering
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