The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
Distance measure plays an important role in clustering data points. Choosing the right distance measure for a given dataset is a non-trivial problem. In this paper, we study vario...
Ankita Vimal, Satyanarayana R. Valluri, Kamalakar ...
We show that an important and computationally challenging solution space feature of the graph coloring problem (COL), namely the number of clusters of solutions, can be accurately...
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...