**Table 14:** Clustering and association algorithms.

Clustering Algorithms |
||

k-medoids clustering |
2 | [FS43] [FS29] |

k-means clustering |
21 | [FS32] [FS7][FS44][FS25][FS1][FS17][FS3][FS46] FS26][FS9][FS19][FS20][FS39][FS2][FS30][FS11] [FS12][FS47][FS22][FS42] [FS51] [FS56] |

Hierarchical Agglomerative Clustering Algorithm (HAC) |
20 | [FS15][FS33][FS34][FS35][FS36][FS8][FS17][FS4][FS18] [FS27][FS37][FS28][FS29][FS21][FS48][FS40] [FS51] [FS54] [FS55] [FS57] |

Density-based spatial clustering of applications with noise (DBSCAN) |
1 | [FS5] |

Quality Threshold (QT) clustering algorithm |
2 | [FS45][FS24] |

neural network clustering |
1 | [FS13] |

PSO clustering algorithm |
1 | [FS23] |

self-organizing based clustering algorithm |
1 | [FS31] |

Self-Join RDB Clustering |
1 | [FS38] |

tree-traversing ant algorithm |
1 | [FS41] |

Fuzzy C-Means |
2 | [FS50] [FS52] |

Association Rules Algorithms |
||

Hyperclique patterns |
1 | [FS33] |

Apriori algorithm |
4 | [FS16] [FS10][FS6] [FS53] |

GARC: gain based association rule classification |
1 | [FS35] |

defined correlation | 2 | [FS2][FS14] |