This paper describes a validation experiment of a quantitative approach to the modularization of object oriented systems based on Cluster Analysis. A sample of some relatively larg...
It is important for any data language that it enables many people to derive correct information from a databases in a simple, effective way with predictable performance. In an ana...
In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to any structured input beyond the usual vectorial data...
Abstract. Nowadays, we have witnessed the widely recognized phenomenon of high speed data streams. Various statistics computation over data streams is often required by many applic...
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...