Analysis of Document Clustering using Pseudo Dynamic Quantum Clustering Approach

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In the field of information processing like data mining, information retrieval, natural language processing and machine learning, Quantum Computing play vital role for extracting the implicit, potentially useful and previously unknown information from huge sets of data. In [1] and [2], proposed two techniques of document ranking and document clustering with Quantum concept. The Quantum Clustering (QC) technique used for information processing which is basically depends on time independent Schrödinger equation for clustering the data and the Dynamic Quantum Clustering (DQC) came into existence when dynamic of the system is computed by means of the time dependent Schrödinger equation. The Dynamic Quantum Clustering (DQC),is a recent clustering technique based on physical perception from quantum mechanics where clusters are computed by means of the time dependent Schrödinger equation and clusters are identified as the minima of the potential function of the Schrödinger equation. In this paper, proposed a novel approach i.e. Pseudo Dynamic Quantum Clustering by considering time dependent Schrödinger equation for clustering the documents such that which provides an agreeable performance in terms of the quality of clusters and the efficiency of the computation in comparison of existing classical approach and earlier proposed approach [2].