NDLI: X-Cluster, A Novel and Efficient Approach towards Unsupervised Learning

Content Provider	IEEE Xplore Digital Library
Author	Ghos, U. Sharma, M.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. Dept., GGS IP Univ., New Delhi, India (Ghos, U.) \|\| CSE, GGS IP Univ., New Delhi, India (Sharma, M.)
Abstract	Data mining is the extraction of knowledge from large amount of data. It is an essential step of knowledge discovery in databases or KDD process. One of the popular data mining techniques is clustering in which different objects are assigned to groups (clusters) depending on their characteristics. It is a type of unsupervised learning which helps in pattern recognition so that objects in one group behave in a similar manner and are different from the other. The novelty of the paper comes from the fact that it shows a way to perform Clustering using Microsoft Excel files which are used to store the data sets. KD - trees are also used to speed up the Clustering process. A new tool is devised which has various advantages over the most widely used tool WEKA. This paper aims at showing that Microsoft Excel is a great tool as far as technical learning is concerned for the fact that, it is very easy and successful in providing the first hand exposure to a novice user.
Starting Page	264
Ending Page	268
File Size	478088
Page Count	5
File Format	PDF
ISBN	9780769550138
DOI	10.1109/ICMIRA.2013.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Conferences Clustering algorithms Educational institutions Partitioning algorithms Spreadsheet programs Data mining
Content Type	Text
Resource Type	Article

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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
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