Thresholds with best F1 score in different classes of datasets
Algorithm Class Threshold PCPr CPr Pr Re F1 Cluster #
sr 1-high 0.1 0.754545 0.913907 0.990038 0.940107 0.964205 615.5 LEGEND
mcl 1-high 0.2 0.730561 0.891413 0.916891 0.952048 0.932745 638.5    
mergec 1-high 0.3 0.419763 0.82091 0.959896 0.896528 0.926953 979.5 part Partitioning
mincut 1-high 0.3 0.435106 0.826557 0.937786 0.901111 0.918657 952 center CENTER
part 1-high 0.3 0.440796 0.828052 0.920292 0.901211 0.910498 940.5 mergec MERGE-CENTER
artpt 1-high 0.3 0.334279 0.75937 0.940784 0.84496 0.887909 1224.5 star Star Algorithm
ocr 1-high 0.3 0.555361 0.805155 0.916261 0.863418 0.887168 547.5 sr SR
bsr 1-high 0.2 0.598533 0.882451 0.838932 0.928197 0.881298 339 bsr BSR
cr 1-high 0.3 0.303206 0.713498 0.947908 0.821864 0.877408 1274.5 cr CR
star 1-high 0.3 0.199465 0.598476 0.955938 0.734888 0.824498 1719.5 ocr OCR
center 1-high 0.2 0.365515 0.680376 0.885434 0.757313 0.815021 950.5 ccl Correlation Clustering
ccl 1-high 0.2 0.328721 0.639019 0.882882 0.744101 0.806221 1001.5 mcl Markov Clustering (MCL)
sr 2-med 0.1 0.841088 0.947549 0.990863 0.961683 0.97567 566.25 mincut Cut Clustering
mcl 2-med 0.3 0.809256 0.949533 0.954907 0.973521 0.964024 598.75 artpt Articulation Point Clustering
mergec 2-med 0.4 0.692008 0.891364 0.987666 0.938259 0.960821 794.25    
part 2-med 0.4 0.695329 0.891843 0.986749 0.938605 0.960534 792.75 PCPr Penalized Clustering Precision
mincut 2-med 0.4 0.695329 0.891843 0.986749 0.938605 0.960534 792.75 CPr Clustering Precision
artpt 2-med 0.4 0.67713 0.888449 0.987739 0.937025 0.960235 801.25 Pr Precision
cr 2-med 0.4 0.670377 0.884794 0.988721 0.935347 0.959795 804 Re Recall
ocr 2-med 0.4 0.758258 0.910265 0.975513 0.939149 0.956325 542 F1 F1 measure
center 2-med 0.3 0.746536 0.919354 0.956423 0.950379 0.95308 671 Cluster # Number of Clusters Generated
star 2-med 0.3 0.751869 0.921391 0.95172 0.953838 0.952593 655.75    
ccl 2-med 0.3 0.710588 0.899958 0.95711 0.942433 0.949308 688 1-high Highly Erroneous Datasets
bsr 2-med 0.3 0.617577 0.956222 0.836235 0.973136 0.896198 323.75 2-med Medium Error Datasets
mergec 3-low 0.4 0.992415 0.998352 0.997308 0.999126 0.998214 503 3-low Low Error Datasets
part 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502    
mincut 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mcl 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502 Number of ground truth clusters: 500
cr 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
artpt 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
star 3-low 0.4 0.933697 0.987681 0.996562 0.993489 0.995015 530
center 3-low 0.4 0.919848 0.983806 0.99752 0.990378 0.993914 536.5
sr 3-low 0.3 0.972802 0.991735 0.993578 0.993682 0.993625 492.5
ccl 3-low 0.4 0.897153 0.977129 0.997366 0.986978 0.99212 547
ocr 3-low 0.4 0.86257 0.997241 0.968788 0.997863 0.983035 432.5
bsr 3-low 0.4 0.757017 0.998704 0.922029 0.999223 0.959075 379
Thresholds with best PCPr score in different classes of datasets
Algorithm Class Threshold PCPr CPr Pr Re F1 Cluster #
cr 1-high 0.2 0.768774 0.882477 0.671136 0.905883 0.770072 455.5
sr 1-high 0.1 0.754545 0.913907 0.990038 0.940107 0.964205 615.5
mcl 1-high 0.2 0.730561 0.891413 0.916891 0.952048 0.932745 638.5
mergec 1-high 0.2 0.634136 0.984708 0.631054 0.98128 0.767173 322
bsr 1-high 0.2 0.598533 0.882451 0.838932 0.928197 0.881298 339
ocr 1-high 0.3 0.555361 0.805155 0.916261 0.863418 0.887168 547.5
artpt 1-high 0.2 0.491637 0.976059 0.395322 0.925563 0.55396 252
mincut 1-high 0.2 0.450794 0.85784 0.848224 0.874916 0.860761 977
part 1-high 0.3 0.440796 0.828052 0.920292 0.901211 0.910498 940.5
center 1-high 0.2 0.365515 0.680376 0.885434 0.757313 0.815021 950.5
star 1-high 0.2 0.362201 0.660826 0.862744 0.759443 0.806944 938
ccl 1-high 0.2 0.328721 0.639019 0.882882 0.744101 0.806221 1001.5
sr 2-med 0.1 0.841088 0.947549 0.990863 0.961683 0.97567 566.25
mcl 2-med 0.2 0.833138 0.975034 0.846975 0.989673 0.912378 427.5
artpt 2-med 0.3 0.803727 0.953417 0.926421 0.973972 0.94946 587.25
mergec 2-med 0.3 0.802657 0.95395 0.941842 0.974485 0.957672 589.25
mincut 2-med 0.3 0.799179 0.954215 0.928325 0.974435 0.950711 580
ocr 2-med 0.3 0.788071 0.9611 0.912305 0.97266 0.941268 407.5
cr 2-med 0.3 0.787012 0.949149 0.935641 0.972133 0.953211 592.25
part 2-med 0.3 0.783458 0.954474 0.91165 0.974584 0.941724 571.25
star 2-med 0.3 0.751869 0.921391 0.95172 0.953838 0.952593 655.75
center 2-med 0.2 0.75058 0.871894 0.774957 0.899314 0.830226 512.5
ccl 2-med 0.2 0.726359 0.825262 0.781515 0.883238 0.827357 568
bsr 2-med 0.3 0.617577 0.956222 0.836235 0.973136 0.896198 323.75
part 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mincut 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mcl 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
cr 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
artpt 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mergec 3-low 0.4 0.992415 0.998352 0.997308 0.999126 0.998214 503
center 3-low 0.3 0.977795 0.986683 0.966939 0.991353 0.978977 497.5
star 3-low 0.3 0.975162 0.983989 0.962694 0.990187 0.976226 499.5
sr 3-low 0.3 0.972802 0.991735 0.993578 0.993682 0.993625 492.5
ccl 3-low 0.3 0.965707 0.980238 0.966209 0.989799 0.977824 501.5
ocr 3-low 0.3 0.914793 0.995422 0.964103 0.996795 0.980158 459.5
bsr 3-low 0.4 0.757017 0.998704 0.922029 0.999223 0.959075 379
Thresholds with best cluster count in different classes of datasets
Algorithm Class Threshold PCPr CPr Pr Re F1 Cluster #
sr 1-high 0.4 0.605166 0.638678 0.975269 0.659263 0.784869 474
cr 1-high 0.2 0.768774 0.882477 0.671136 0.905883 0.770072 455.5
ocr 1-high 0.3 0.555361 0.805155 0.916261 0.863418 0.887168 547.5
mcl 1-high 0.2 0.730561 0.891413 0.916891 0.952048 0.932745 638.5
bsr 1-high 0.3 0.595396 0.872247 0.85944 0.897774 0.877928 341.5
mergec 1-high 0.2 0.634136 0.984708 0.631054 0.98128 0.767173 322
ccl 1-high 0.1 0.286394 0.469218 0.370392 0.486026 0.420036 306
star 1-high 0.1 0.298416 0.499121 0.344887 0.456545 0.39288 300.5
center 1-high 0.1 0.249964 0.483533 0.352912 0.504442 0.414628 259
artpt 1-high 0.2 0.491637 0.976059 0.395322 0.925563 0.55396 252
part 1-high 0.2 0.268726 0.992251 0.25767 0.973433 0.405602 135.5
mincut 1-high 0.3 0.435106 0.826557 0.937786 0.901111 0.918657 952
center 2-med 0.2 0.75058 0.871894 0.774957 0.899314 0.830226 512.5
sr 2-med 0.7 0.679443 0.710975 0.977999 0.745211 0.839871 484
ocr 2-med 0.4 0.758258 0.910265 0.975513 0.939149 0.956325 542
star 2-med 0.2 0.736766 0.832374 0.750608 0.865706 0.801117 545.25
ccl 2-med 0.2 0.726359 0.825262 0.781515 0.883238 0.827357 568
part 2-med 0.3 0.783458 0.954474 0.91165 0.974584 0.941724 571.25
mcl 2-med 0.2 0.833138 0.975034 0.846975 0.989673 0.912378 427.5
mincut 2-med 0.3 0.799179 0.954215 0.928325 0.974435 0.950711 580
artpt 2-med 0.3 0.803727 0.953417 0.926421 0.973972 0.94946 587.25
mergec 2-med 0.3 0.802657 0.95395 0.941842 0.974485 0.957672 589.25
cr 2-med 0.3 0.787012 0.949149 0.935641 0.972133 0.953211 592.25
bsr 2-med 0.4 0.601049 0.926616 0.844239 0.945465 0.887016 326.25
star 3-low 0.3 0.975162 0.983989 0.962694 0.990187 0.976226 499.5
ccl 3-low 0.3 0.965707 0.980238 0.966209 0.989799 0.977824 501.5
part 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
artpt 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
cr 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mcl 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
mincut 3-low 0.4 0.994379 0.998352 0.996052 0.999126 0.997586 502
center 3-low 0.3 0.977795 0.986683 0.966939 0.991353 0.978977 497.5
mergec 3-low 0.4 0.992415 0.998352 0.997308 0.999126 0.998214 503
sr 3-low 0.1 0.967743 0.990499 0.993219 0.99339 0.993299 495.5
ocr 3-low 0.5 0.820223 0.976954 0.976445 0.987079 0.981544 493.5
bsr 3-low 0.3 0.754428 0.995286 0.920068 0.99932 0.958058 379