NDLI: K-Means Clustering with Bagging and MapReduce

Content Provider	IEEE Xplore Digital Library
Author	Hai-Guang Li Gong-Qing Wu Xue-Gang Hu Jing Zhang Lian Li Xindong Wu
Copyright Year	2011
Abstract	Clustering is one of the most widely used techniques for exploratory data analysis. Across all disciplines, from social sciences over biology to computer science, people try to get a first intuition about their data by identifying meaningful groups among the data objects. K-means is one of the most famous clustering algorithms. Its simplicity and speed allow it to run on large data sets. However, it also has several drawbacks. First, this algorithm is instable and sensitive to outliers. Second, its performance will be inefficient when dealing with large data sets. In this paper, a method is proposed to solve those problems, which uses an ensemble learning method bagging to overcome the instability and sensitivity to outliers, while using a distributed computing framework MapReduce to solve the inefficiency problem in clustering on large data sets. Extensive experiments have been performed to show that our approach is efficient.
Starting Page	1
Ending Page	8
File Size	309199
Page Count	8
File Format	PDF
ISBN	9781424496181
ISSN	15301605
DOI	10.1109/HICSS.2011.265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Algorithm design and analysis Bagging Training Merging Machine learning algorithms Computer science
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

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