COMP5122M Data Science Similarity practical
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COMP5122M Data Science
Similarity practical
1 Euclidean similarity
The following dataset has three variables. Calculate the similarity of Record A to each of the other records.
|
Record |
Measurement_1 |
Measurement_2 |
Measurement_3 |
|
A |
0 |
5 |
9 |
|
B |
0 |
6 |
9 |
|
C |
1 |
9 |
0 |
|
D |
9 |
0 |
2 |
Answers:
A - B = 1.00
A - C = 9.90
A - D = 12.45
2 Manhattan distance similarity
Using the previous question’s dataset, calculate the similarity of Record A to each of the other records.
|
Record |
Measurement_1 |
Measurement_2 |
Measurement_3 |
|
A |
0 |
5 |
9 |
|
B |
0 |
6 |
9 |
|
C |
1 |
9 |
0 |
|
D |
9 |
0 |
2 |
Answers:
A - B 1.00
A - C 14.00
A - D 21.00
3 Euclidean similarity
The following dataset has three variables. Calculate the similarity of Record A to each of the other records.
|
Record |
Measurement_1 |
Measurement_2 |
Measurement_3 |
|
A |
0 |
5 |
9 |
|
B |
0 |
6 |
9 |
|
C |
1 |
0 |
9 |
|
D |
100 |
0 |
2 |
Answers:
A - B 0.17
A - C 0.83
A - D 1.64
4 Euclidean similarity
The following dataset has three variables. Calculate the similarity of Record A to each of the other records.
|
Record |
Measurement_1 |
Categorical_2 |
Categorical_3 |
|
A |
0 |
1 |
1 |
|
B |
1 |
2 |
2 |
|
C |
4 |
2 |
3 |
|
D |
9 |
1 |
4 |
Answers:
A - B 1.42
A - C 1.48
A - D 1.41
2023-02-01