SOA Exam SRM Sample Question 15
Study guide: Exam SRM
You are performing a K-means clustering algorithm on a set of data. The data has been initialized randomly with 3 clusters as follows:
| Cluster | Data Point |
|---|---|
| A | (2, –1) |
| A | (–1, 2) |
| A | (–2, 1) |
| A | (1, 2) |
| B | (4, 0) |
| B | (4, –1) |
| B | (0, –2) |
| B | (0, –5) |
| C | (–1, 0) |
| C | (3, 8) |
| C | (–2, 0) |
| C | (0, 0) |
A single iteration of the algorithm is performed using the Euclidian distance between points and the cluster containing the fewest number of data points is identified.
Calculate the number of data points in this cluster.
- A) 0
- B) 1
- C) 2
- D) 3
- E) 4
Answer this question and see the worked solution