Research Article
Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms
Table 1
Summary of the popular multi-objective metaheuristic algorithms for data clustering with their related details.
| Algorithm | Objective functions | Algorithm | Reference |
| VIENNA | Dev(C) & Conn(C) | PESA-II | [27] | MOEA | Dev(C) & Conn(C) | NSGA-II | [29] | MOCK | Dev(C) & Conn(C) | PESA-II | [5] | VRJGGA | Entropy & separation | NSGA-II | [32] | MOGA-medoid | Dev(C) & silhouette | NSGA-II | [30] | MECEA | Dev(C) & Conn(C) | PESA-II | [31] | EMCOC | Entropy & separation | NSGA-II | [32] | MOVGA | Jm & separation | NSGA-II | [33] | MOCA | Avg. Dev(C) & Conn(C) | NSGA-II | [34] | TSMPSO | SSE & Conn(C) | NSGA-II | [21] | NSABC | SSE & Conn(C) | NSGA-II | [35] | IMBGSAFS | Silhouette & cardinality | NSGA-II | [36] | MOKCW | Compactness & separation | NSGA-II | [23] |
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