NDLI: Self-Organizing Data Clustering Based on Quantum Entanglement Model

Content Provider	IEEE Xplore Digital Library
Author	Dianxun Shuai Yuzhe Liu Qing Shuai Liangjun Huang Yuming Dong
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Nanjing (Dianxun Shuai; Yuzhe Liu)
Abstract	Most of currently used approaches to data clustering are not qualified to quickly cluster a high-dimensional large-scale database. This paper is devoted to a novel generalized quantum particle model (GQPM) to data self-organizing clustering. The GQPM approach transforms the data clustering process into a stochastic process of particle motion, collision and quantum entanglement on a particle array. In comparison with the GPM clustering method we have proposed before, the GQPM has much faster speed and higher quality for clustering. GQPM is also characterized by the self-organizing clustering and has advantages in terms of the insensitivity to noise, the quality robustness to clustered data, the learning ability, the suitability for high-dimensional multi-shape large-scale data sets. The simulations and comparisons have shown the effectiveness and good performance of the proposed GQPM approach to data clustering
Sponsorship	STEMES/IMSCCS Conference, USA The University of Iowa, USA Zhejing Univ., China Harbin Eng. Univ., China
Starting Page	716
Ending Page	723
File Size	302305
Page Count	8
File Format	PDF
ISBN	0769525814
DOI	10.1109/IMSCCS.2006.266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantum computing Quantum entanglement Databases Clustering methods Stochastic processes Clustering algorithms Quantum mechanics Noise robustness Large-scale systems Motion control
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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