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K_​medoids Solution Forum

When applying K-medoids (using the metanode approach) the accuracy is 60%. When applying X-means (using the metanode approach) the accuracy is 100%. When applying EM (using the metanode approach) the accuracy is 100%. USArrests HISTORICAL DATA Node 51Node 52Node 53USArrestsAssume that is a NEW DATA Node 57Node 58Select somecasesNode 111Node 11260% of accuracyNode 118 MetanodeNode 120Node 121Node 122100% of accuracyNode 124Node 125Node 126Node 127Node 128100% of accuracyNode 130R Source (Table) Normalizer PCA Compute PCA Apply R Source (Table) Normalizer (Apply) PCA Apply Row Sampling RowID RowID Scorer XMeans (3.7) Metanode Weka ClusterAssigner (3.7) Weka ClusterAssigner (3.7) Joiner Scorer Number To String EM (3.7) Weka ClusterAssigner (3.7) Joiner Number To String Scorer Weka ClusterAssigner (3.7) When applying K-medoids (using the metanode approach) the accuracy is 60%. When applying X-means (using the metanode approach) the accuracy is 100%. When applying EM (using the metanode approach) the accuracy is 100%. USArrests HISTORICAL DATA Node 51Node 52Node 53USArrestsAssume that is a NEW DATA Node 57Node 58Select somecasesNode 111Node 11260% of accuracyNode 118 MetanodeNode 120Node 121Node 122100% of accuracyNode 124Node 125Node 126Node 127Node 128100% of accuracyNode 130R Source (Table) Normalizer PCA Compute PCA Apply R Source (Table) Normalizer (Apply) PCA Apply Row Sampling RowID RowID Scorer XMeans (3.7) Metanode Weka ClusterAssigner (3.7) Weka ClusterAssigner (3.7) Joiner Scorer Number To String EM (3.7) Weka ClusterAssigner (3.7) Joiner Number To String Scorer Weka ClusterAssigner (3.7)

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