| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| evaluation metric for clustering | 1.48 | 0.4 | 5903 | 40 | 32 |
| evaluation | 0.53 | 0.1 | 7662 | 6 | 10 |
| metric | 0.54 | 1 | 7982 | 14 | 6 |
| for | 0.08 | 0.2 | 843 | 49 | 3 |
| clustering | 0.04 | 0.5 | 4888 | 86 | 10 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| evaluation metric for clustering | 1.51 | 0.3 | 7847 | 51 |
| evaluation metrics for clustering algorithms | 1.08 | 0.3 | 4444 | 38 |
| clustering performance evaluation metrics | 1.92 | 1 | 9647 | 78 |
| clustering algorithm evaluation metrics | 0.78 | 0.8 | 7096 | 26 |
| performance metrics for clustering | 1.67 | 0.6 | 6067 | 54 |
| evaluation metrics for k means clustering | 1.77 | 0.8 | 3433 | 30 |
| clustering algorithms evaluation metrics ppt | 0.22 | 0.9 | 8400 | 13 |
| metrics for cluster monitoring | 0.3 | 0.9 | 9583 | 85 |
| how to evaluate clustering | 1.34 | 0.7 | 3914 | 60 |
| evaluation of clustering models | 0.11 | 0.1 | 4079 | 84 |
| metrics for clustering algorithms | 1.4 | 0.3 | 3822 | 40 |
| evaluation methods for clustering algorithms | 0.82 | 0.6 | 9419 | 86 |
| distance metrics for clustering | 1.92 | 1 | 6950 | 72 |
| how to evaluate clustering results | 1.1 | 0.7 | 8839 | 37 |
| k-means clustering evaluation metrics | 1.33 | 0.5 | 6233 | 1 |
| clustering performance evaluation indices | 1.5 | 0.3 | 8773 | 9 |
| evaluating performance of clustering models | 0.27 | 0.1 | 4718 | 47 |
| clustering metrics in machine learning | 0.8 | 0.5 | 3158 | 61 |
| clustering_evaluation | 1.29 | 0.2 | 2242 | 33 |
| how to evaluate a cluster analysis | 1.76 | 0.8 | 7438 | 39 |
