Low-Power CMOS VLSI Design lecture notes
Low-Power CMOS VLSI Design lecture notes
Software Clustering based on Information Loss Minimization
The majority of the algorithms in the software clustering literature utilize structural information in order to decompose large software systems. Other approaches, such as using £le names or ownership information, have also demonstrated merit. However, there is no intuitive way to combine information obtained from these two different types of techniques. In this paper, we […]
Bayesian clustering algorithms ascertaining spatial population structure-a new computer program and a comparison study
Bayesian clustering algorithms have recently emerged as a prominent computational tool for inferring population structure in population genetics and in molecular ecology (Beaumont & Rannala 2004). Bayesian clustering methods use genetic information to ascertain population membership of individuals without assuming predefined populations. They can assign either the individuals or a fraction of their genome to […]