Research Article
Performance Evaluation of Simple K-Mean and Parallel K-Mean Clustering Algorithms: Big Data Business Process Management Concept
Table 14
Cluster quality of parallel K-mean clustering for K = 3.
| | S.# | No. of executions | Elapsed time in ms | No. of data items in cluster# 1 | No of data items in cluster# 2 | No. of data items in cluster# 3 | Total no. of data items |
| | 01 | 3 | 7.8 | 3822 | 2722 | 3456 | 10000 | | 02 | 3 | 7.8 | 3822 | 2722 | 3456 | 10000 | | 03 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 | | 04 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 | | 05 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 | | 06 | 3 | 9.4 | 3822 | 2722 | 3456 | 10000 | | 07 | 3 | 7.8 | 3822 | 2722 | 3456 | 10000 | | 08 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 | | 09 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 | | 10 | 3 | 9.3 | 3822 | 2722 | 3456 | 10000 |
|
|
