—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Multiple-detect test sets have been shown to be effective in lowering defect level. Other researchers have noted that observing the effects of a defect can be controlled by sensit...
R. D. (Shawn) Blanton, Kumar N. Dwarakanath, Aniru...
Large-scale data breaches exposing sensitive personal information are becoming commonplace. For numerous reasons, conventional personal (identification) information leaks from da...
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...