Traditional approaches for program comprehension use static program analysis or dynamic program analysis in the form of execution traces. Our approach, however, makes use of runti...
Thomas Gschwind, Johann Oberleitner, Martin Pinzge...
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...