Knowledge

Category:Clustering criteria

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The following 20 pages are in this category, out of 20 total.
217: 74:Determining the number of clusters in a data set 22:This list may not reflect recent changes 17:Pages in category "Clustering criteria" 218: 13: 26: 14: 247: 40:Automatic clustering algorithms 1: 15: 7: 195:Simple matching coefficient 35:Adjusted mutual information 10: 252: 91:Elbow method (clustering) 64:Dasgupta's objective 207:Variation of information 180:Silhouette (clustering) 108:Fowlkes–Mallows index 231:Statistical distance 69:Davies–Bouldin index 52:Balanced clustering 190:Similarity measure 120:Hopkins statistic 243: 236:Spatial analysis 226:Cluster analysis 251: 250: 246: 245: 244: 242: 241: 240: 216: 215: 214: 213: 212: 211: 199: 172: 160: 148: 136: 124: 112: 95: 83: 56: 44: 12: 11: 5: 249: 239: 238: 233: 228: 210: 209: 203: 200: 198: 197: 192: 187: 182: 176: 173: 171: 170: 164: 161: 159: 158: 152: 149: 147: 146: 140: 137: 135: 134: 128: 125: 123: 122: 116: 113: 111: 110: 105: 99: 96: 94: 93: 87: 84: 82: 81: 76: 71: 66: 60: 57: 55: 54: 48: 45: 43: 42: 37: 31: 28: 27: 18: 9: 6: 4: 3: 2: 248: 237: 234: 232: 229: 227: 224: 223: 221: 208: 205: 204: 201: 196: 193: 191: 188: 186: 183: 181: 178: 177: 174: 169: 166: 165: 162: 157: 154: 153: 150: 145: 142: 141: 138: 133: 132:Jaccard index 130: 129: 126: 121: 118: 117: 114: 109: 106: 104: 101: 100: 97: 92: 89: 88: 85: 80: 77: 75: 72: 70: 67: 65: 62: 61: 58: 53: 50: 49: 46: 41: 38: 36: 33: 32: 29: 25: 23: 16: 19: 220:Categories 168:Rand index 79:Dunn index 156:P4-metric 185:SimHash 144:MinHash 103:F-score 222:: 24:. 202:V 175:S 163:R 151:P 139:M 127:J 115:H 98:F 86:E 59:D 47:B 30:A

Index

This list may not reflect recent changes
Adjusted mutual information
Automatic clustering algorithms
Balanced clustering
Dasgupta's objective
Davies–Bouldin index
Determining the number of clusters in a data set
Dunn index
Elbow method (clustering)
F-score
Fowlkes–Mallows index
Hopkins statistic
Jaccard index
MinHash
P4-metric
Rand index
Silhouette (clustering)
SimHash
Similarity measure
Simple matching coefficient
Variation of information
Categories
Cluster analysis
Statistical distance
Spatial analysis

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