5 papers
Decomposing the Jaccard Distance and the Jaccard Index in ABCDE
Stephan van Staden
ABCDE is a sophisticated technique for evaluating differences between very large clusterings. Its main metric that characterizes the magnitude of the difference between two cluster…
Evaluation of Cluster Id Assignment Schemes with ABCDE
Stephan van Staden
A cluster id assignment scheme labels each cluster of a clustering with a distinct id. The goal of id assignment is semantic id stability, which means that, whenever possible, a cl…
More Clustering Quality Metrics for ABCDE
Stephan van Staden
ABCDE is a technique for evaluating clusterings of very large populations of items. Given two clusterings, namely a Baseline clustering and an Experiment clustering, ABCDE can char…
ABCDE: Application-Based Cluster Diff Evals
Stephan van Staden, Alexander Grubb
This paper considers the problem of evaluating clusterings of very large populations of items. Given two clusterings, namely a Baseline clustering and an Experiment clustering, the…
Pointwise Metrics for Clustering Evaluation
Stephan van Staden
This paper defines pointwise clustering metrics, a collection of metrics for characterizing the similarity of two clusterings. These metrics have several interesting properties whi…