Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
By comparing genomes among both closely and distally related species, comparative genomics analysis characterizes structures and functions of different genomes in both conserved a...
Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wan...
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
In this paper, the bottleneck problem in PRMC-based wireless sensor networks is studied. This problem can be solved by overlapping neighboring layers. By this way, more cluster he...
Hongyan Wang, Mei Yang, Yingtao Jiang, Shupeng Wan...
We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the h...
Anton Bardera, Miquel Feixas, Imma Boada, Jaume Ri...