We present a general heuristicfor the median problem for induced breakpoints on genomes with unequal gene content and incorporate this into a routine for estimating optimal gene o...
The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. ...
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
This paper proposes the use of a new symmetry property based on proximity of the median moments in the wavelet domain. The method divides a given frame into 16 equally sized blocks...
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...