: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
—Research in wireless mesh networks have been growing in recent years. Many testbeds have been created to study networking protocols in wireless mesh networks. In this work, we d...
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Abstract. Although the template fingerprint collected during the registration phase of personal verification systems can be considered in principle as representative of the subject...