Research On Distributing And Matching Algorithm Of Experts And Applications In Technology Project Management

In the domain of Pattern Recognition, one of very important technologies is clustering. The technology of co-clustering is to cluster two kinds of heterogeneous objects simultaneusly. In the process of technology project management, we need to organize experts to evaluate the applications of the project. All experts are divided into several groups, all groups have the same number of experts. The applications are in the same situation. All experts are familiar with the applications they need to evaluate. We can use the idea of co-clustering to distribute and match the experts and applications and let a group of experts to evaluate a group of applications. At present, there are two kinds of common co-clustering algorithms, which are co-clustering using bipartite spectral graph partitioning and information theoretic co-clustering.This paper introduces the concept and development of co-clustering, focuses on the basic theoretics and key steps of co-culstering using bipartite spectral partitioning and information theoretic co-clustering, describes other common algorithms of co-clustering, which are co-clustering using bipartite isoperimetric graph partitioning and other co-clustering algorithms.This paper puts forward a model of distributing and matching experts and applications in technology project management, which controls the number of experts and applications in each group and let a group of experts to evaluate a group of applications. This paper also puts forward a formula to compute the association strength between experts and applications then proposes and implements the distributing and matching algorithm of experts and applications using bipartite spectral partitioning and the distributing and matching algorithm of experts and applications based on information theoretic and proved the validity of both algorithms.The experiments show that the algorithm using bipartite spectral partitioning and the algorithm based on information theoretic can distribute and macth experts and applications correctly in practical application and the algorithm based on information theoretic is more easy-to-understand and have great expansibility.