Research Article
Performance Evaluation of Simple K-Mean and Parallel K-Mean Clustering Algorithms: Big Data Business Process Management Concept
Table 13
Cluster quality of simple K-mean clustering for Kā=ā3.
| S.# | No. of iterations | 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 | 12 | 18.7 | 3312 | 2764 | 3924 | 10000 | 02 | 9 | 14.1 | 2838 | 3456 | 3706 | 10000 | 03 | 12 | 20.3 | 2838 | 3456 | 3706 | 10000 | 04 | 9 | 18.7 | 3706 | 2838 | 3456 | 10000 | 05 | 7 | 14.0 | 2764 | 3312 | 3924 | 10000 | 06 | 14 | 20.3 | 3706 | 2838 | 3456 | 10000 | 07 | 9 | 14.6 | 3456 | 2838 | 3706 | 10000 | 08 | 12 | 18.7 | 2764 | 3312 | 3924 | 10000 | 09 | 10 | 14.6 | 3456 | 2838 | 3706 | 10000 | 10 | 15 | 18.7 | 3924 | 3312 | 2764 | 10000 |
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