NDLI: Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data

Content Provider	IEEE Xplore Digital Library
Author	Ran Qi Shujia Zhou
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. Electr. Eng., Univ. of Maryland, Baltimore, MD, USA (Ran Qi; Shujia Zhou)
Abstract	Cancer survival prediction usually depends on a clinically useful classification scheme. Grouping in cancer datasets is needed for this classification process [1]. Partitioning Around Medoids (PAM) is a classical clustering algorithm that is often used to group cancer data. PAM is known to be an NP-hard optimization problem and its practical application is often tackled with heuristic methods [2]. However, many heuristic PAM algorithms may converge to local minimums that adversely affect the quality of grouping results. It is therefore desirable to devise an algorithm to overcome this limitation. In this paper, we demonstrate that simulated annealing (SA) is an effective method for obtaining or approaching to a global optimum. First, we present a grouping algorithm for cancer data, and then optimize the grouping quality of PAM with SA. The experimental results show that the Simulated Annealing PAM (SA-PAM) algorithm is always capable of finding a global minimum or closer approximation to the global minimum than the standard PAM algorithm.
Sponsorship	Toshiba
Starting Page	281
Ending Page	286
File Size	264776
Page Count	6
File Format	PDF
e-ISBN	9781479931422
DOI	10.1109/ICDMW.2013.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	simulated annealing Heuristic algorithms cancer survival data analysis Clustering algorithms global optimum Approximation algorithms Partitioning algorithms PAM Standards Optimization Cancer
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in