Modified K-NN algorithm for classification problems with improved accuracy

被引：6
|
作者：
Sahu S.K. [1 ]
Kumar P. [1 ,2 ]
Singh A.P. [1 ,2 ]
机构：
[1] Guru Gobind Singh Indraprastha University, Delhi
[2] USICT, Guru Gobind Singh Indraprastha University, Delhi
来源：
International Journal of Information Technology | 2018年 / 10卷 / 1期
关键词：
K-NN; Learning algorithms; Machine learning; Pattern; Vectors;
D O I：
10.1007/s41870-017-0058-z
中图分类号：
学科分类号：
摘要：
In memory based learning algorithm, K-nearest neighbour method used for classification and clustering problems. Using K-NN algorithm we can define the class of an unknown sample data based on the prior learning of the system. In this paper we will be looking over a classification problem and will present a solution to enhance the accuracy and performance of K-NN algorithm. © 2017, Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码：65 / 70
页数：5
相关论文
共 50 条
  • [41] Selection of Relevant Features for Text Classification with K-NN
    Balicki, Jerzy
    Krawczyk, Henryk
    Rymko, Lukasz
    Szymanski, Julian
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II, 2013, 7895 : 477 - 488
  • [42] Fermentation Level Classification of Cross Cut Cacao Beans Using k-NN Algorithm
    Angelia, Randy E.
    Linsangan, Noel B.
    ICBRA 2018: PROCEEDINGS OF 2018 5TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS RESEARCH AND APPLICATIONS, 2018, : 64 - 68
  • [43] Improving the k-NN and applying it to Chinese text classification
    Yuan, F
    Yang, L
    Yu, G
    Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 1547 - 1553
  • [44] Sentiment Classification with PSO Based Weighted K-NN
    Aydin, Ilhan
    Baskaya, Fatma
    Salur, Mehmet Umut
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 739 - 744
  • [45] The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
    Rashid, Mamunur
    Bari, Bifta Sama
    Hasan, Md Jahid
    Razman, Mohd Azraai Mohd
    Musa, Rabiu Muazu
    Ab Nasir, Ahmad Fakhri
    Majeed, Anwar P. P. Abdul
    PEERJ COMPUTER SCIENCE, 2021, 7 : 1 - 31
  • [46] Using Genetic Algorithm to Improve Fuzzy k-NN
    Zhang Juan
    Niu Yi
    He Wenbin
    2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS, 2008, : 475 - +
  • [47] A Framework for a Decision Tree Learning Algorithm with K-NN
    Kurematsu, Masaki
    Hakura, Jun
    Fujita, Hamido
    INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES, SOMET 2014, 2015, 513 : 39 - 51
  • [48] Two manufacturing applications of the fuzzy K-NN algorithm
    Liao, TW
    Li, DM
    FUZZY SETS AND SYSTEMS, 1997, 92 (03) : 289 - 303
  • [49] Accelerating k-NN Algorithm with Hybrid MPI and OpenSHMEM
    Lin, Jian
    Hamidouche, Khaled
    Zhang, Jie
    Lu, Xiaoyi
    Vishnu, Abhinav
    Panda, Dhabaleswar
    OPENSHMEM AND RELATED TECHNOLOGIES: EXPERIENCES, IMPLEMENTATIONS, AND TECHNOLOGIES, OPENSHMEM 2015, 2015, 9397 : 164 - 177
  • [50] A parallel network of modified 1-NN and k-NN classifiers - application to remote-sensing image classification
    Jozwik, A
    Serpico, S
    Roli, F
    PATTERN RECOGNITION LETTERS, 1998, 19 (01) : 57 - 62
12345