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Title: :  SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH
PaperId: :  4078
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4078
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aware Sneha NandlalMatoshri College of Engineering & Research Centre, Nashik
Varsha H. PatilMatoshri College of Engineering & Research Centre, Nashik

Abstract

Computer Engineering
clustering, k-Nearest Neighbor, various-width clustering, high dimensional
Over recent decades, database sizes have grown large. Due to the large sizes it create new challenges, because many machine learning algorithms are not able to process such a large volume of information. The k-nearest neighbor (k-NN) is widely used in many machines learning problem. k-NN approach incurs a large computational cost. In this research a k-NN approach based on various-width clustering is presented. The k-NN search technique is based on VWC is used to efficiently find k-NNs for a query object from a given data set and create clusters with various widths. This reduces clustering time in addition to balancing the number of produced clusters and their respective sizes.

Citations

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IJARIIE Aware Sneha Nandlal, and Varsha H. Patil. "SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 443-447
MLA Aware Sneha Nandlal, and Varsha H. Patil. "SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 443-447.
APA Aware Sneha Nandlal, & Varsha H. Patil. (2017). SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 443-447.
Chicago Aware Sneha Nandlal, and Varsha H. Patil. "SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 443-447.
Oxford Aware Sneha Nandlal, and Varsha H. Patil. 'SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 443-447. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/SURVEY_ON_VARIOUS_WIDTH_CLUSTERING_FOR_EFFICIENT_k_NEAREST_NEIGHBOR_SEARCH_ijariie4078.pdf (Accessed : ).
Harvard Aware Sneha Nandlal, and Varsha H. Patil. (2017) 'SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 443-447IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/SURVEY_ON_VARIOUS_WIDTH_CLUSTERING_FOR_EFFICIENT_k_NEAREST_NEIGHBOR_SEARCH_ijariie4078.pdf (Accessed : )
IEEE Aware Sneha Nandlal, and Varsha H. Patil, "SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 443-447, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/SURVEY_ON_VARIOUS_WIDTH_CLUSTERING_FOR_EFFICIENT_k_NEAREST_NEIGHBOR_SEARCH_ijariie4078.pdf [Accessed : ].
Turabian Aware Sneha Nandlal, and Varsha H. Patil. "SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver Aware Sneha Nandlal, and Varsha H. Patil. SURVEY ON VARIOUS-WIDTH CLUSTERING FOR EFFICIENT k-NEAREST NEIGHBOR SEARCH. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 443-447. Available from: http://ijariie.com/AdminUploadPdf/SURVEY_ON_VARIOUS_WIDTH_CLUSTERING_FOR_EFFICIENT_k_NEAREST_NEIGHBOR_SEARCH_ijariie4078.pdf
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