A NEW FUZZY K-NEAREST NEIGHBORS ALGORITHM

被引：0

作者：

Li, Chengjie ^{[1
]}

Pei, Zheng ^{[1
]}

Li, Bo ^{[1
]}

Zhang, Zhen ^{[1
]}

机构：

[1] Xihua Univ, Sch Math & Comp Engn, Chengdu 610039, Peoples R China

来源：

INTELLIGENT DECISION MAKING SYSTEMS, VOL. 2 | 2010年

关键词：

K-nearest searching algorithm; KNNA; ISODATA; F-KNNA; ID3;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

The K-nearest searching algorithm (KNNA) is widely used in the high dimension space. However, it has two shortcomings, one is expensive searching cost, the other is the accuracy of the result is not very high In this paper, a new algorithm (F-KNNA) is proposed the methods and steps are as follows. 1) classify the training set using fuzzy ISODATA; 2) make a hyper-cone with membership of search object, which connects the origin point and the search object The experiment shows that the performance of F-KNNA is superior to the regular KNNA

引用

页码：246 / +

页数：2

共 50 条

[21] k-Nearest Neighbors Algorithm in Profiling Power Analysis Attacks
Martinasek, Zdenek
Zeman, Vaclav
Malina, Lukas
Martinasek, Josef
[J]. RADIOENGINEERING, 2016, 25 (02) : 365 - 382
[22] An Adaptable k-Nearest Neighbors Algorithm for MMSE Image Interpolation
Ni, Karl S.
Nguyen, Truong Q.
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2009, 18 (09) : 1976 - 1987
[23] FUZZY K-NEAREST NEIGHBOR ALGORITHM.
Keller, James M.
Gray, Michael R.
Givens, James A.
[J]. IEEE Transactions on Systems, Man and Cybernetics, 1985, SMC-15 (04): : 580 - 585
[24] Wind power forecasting using the k-nearest neighbors algorithm
Mangalova, E.
Agafonov, E.
[J]. INTERNATIONAL JOURNAL OF FORECASTING, 2014, 30 (02) : 402 - 406
[25] Improving k-Nearest Neighbors Algorithm for Imbalanced Data Classification
Shi, Zhan
[J]. 3RD ANNUAL INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGY AND COMMUNICATION ENGINEERING, 2020, 719
[26] METHOD FOR DETERMINING K-NEAREST NEIGHBORS
KITTLER, J
[J]. KYBERNETES, 1978, 7 (04) : 313 - 315
[27] A New Algorithm for Large-Scale Geographically Weighted Regression with K-Nearest Neighbors
Yang, Xiaoyue
Yang, Yi
Xu, Shenghua
Han, Jiakuan
Chai, Zhengyuan
Yang, Gang
[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 12 (07)
[28] K-nearest neighbors in uncertain graph
Zhang, Yinglong
Li, Cuiping
Chen, Hong
Du, Lingxia
[J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2011, 48 (10): : 1850 - 1858
[29] Classification with learning k-nearest neighbors
Laaksonen, J
Oja, E
[J]. ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1480 - 1483
[30] A New k-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions
Shen, Zhengfei
Cao, Jian
Zhu, Nengjun
Chen, Xiaosong
[J]. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 1015 - 1020

← 1 2 3 4 5 →