Research Article
Analysis of Simple K-Mean and Parallel K-Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset
Table 16
Elapsed time of Parallel K-Mean clustering for k = 2.
| K = 2 | S# | Client systems | Elapsed time in ms (1stitr + 2nditr) | # of data items in cluster 1 | # of data items in cluster 2 | Total data items |
| 1 | Client 1 | 6.0 + 6.0 | 534 | 466 | 1000 | 2 | Client 2 | 4.0 + 4.0 | 1000 | 0 | 1000 | 3 | Client 3 | 4.0 + 4.0 | 1000 | 0 | 1000 | 4 | Client 4 | 4.0 + 4.0 | 1000 | 0 | 1000 | 5 | Client 5 | 8.0 + 4.0 | 1000 | 0 | 1000 | 6 | Client 6 | 6.0 + 6.0 | 552 | 448 | 1000 | 7 | Client 7 | 4.0 + 4.0 | 0 | 1000 | 1000 | 8 | Client 8 | 4.0 + 4.0 | 0 | 1000 | 1000 | 9 | Client 9 | 4.0 + 4.0 | 0 | 1000 | 1000 | 10 | Client 10 | 4.0 + 4.0 | 0 | 1000 | 1000 | Total | 12.0 | 5086 | 4914 | 10000 |
|
|