Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
With the availability of multi-core processors and large-scale computing clusters, the study of parallel algorithms has been revived throughout the industry. We present a portfolio...
Christoph M. Wintersteiger, Leonardo Mendonç...
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...
In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly...
Zhen He, Richard Lai, Alonso Marquez, Stephen Blac...