An improved Clustering Algorithm based on Fuzzy C-means and Artificial Bee Colony Optimization

被引：0
|
作者：
Kaur, Jaspreet [1 ]
Nazeer, K. A. Abdul [1 ]
机构：
[1] Natl Inst Technol, Dept Comp Sci & Engn, Calicut, Kerala, India
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON) | 2018年
关键词：
Clustering; K-means Clustering; Fuzzy C-means(FCM); Artificial Bee Colony(ABC) Algorithm; Visual Assessment of Tendency for clustering(VAT) algorithm;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Fuzzy C-means (FCM) is considered to be one of the most popular fuzzy clustering techniques. However, it has the limitation of producing bad results due to its search for solution easily getting trapped into local optima. To address this problem a hybrid of FCM and Artificial Bee Colony optimization was proposed in the literature which can give global optimal solutions. This algorithm is also found to have issues such as the dependence of the quality of the results on randomly selected initial cluster centers. Here we propose an improved clustering algorithm based on Fuzzy C-Means and Artificial Bee Colony optimization which involves better methods for finding initial centroids and determining the value of K, the number of clusters.
引用
收藏
页码：1089 / 1094
页数：6
相关论文
共 50 条
  • [1] Improved Artificial Bee Colony Clustering Algorithm Based on Fuzzy C-Means
    Zhang Hengwei
    Fang Chen
    [J]. 2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2016, : 1211 - 1216
  • [2] A CLUSTERING ALGORITHM COMBINING FUZZY C-MEANS AND ARTIFICIAL BEE COLONY ALGORITHM
    Ni, Kan
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2024, 20 (01): : 297 - 311
  • [3] A hybrid algorithm for classifying rock joints based on improved artificial bee colony and fuzzy C-means clustering algorithm
    Ji, Duofa
    Lei, Weidong
    Chen, Wenqin
    [J]. GEOMECHANICS AND ENGINEERING, 2022, 31 (04) : 353 - 364
  • [4] An Improved Fuzzy C-Means Clustering Algorithm Based on Multi-chain Quantum Bee Colony Optimization
    Feng, Yufang
    Lu, Houqing
    Xie, Wenbin
    Yin, Hong
    Bai, Jingbo
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2018, 102 (02) : 1421 - 1441
  • [5] An Improved Fuzzy C-Means Clustering Algorithm Based on Multi-chain Quantum Bee Colony Optimization
    Yufang Feng
    Houqing Lu
    Wenbin Xie
    Hong Yin
    Jingbo Bai
    [J]. Wireless Personal Communications, 2018, 102 : 1421 - 1441
  • [6] Risk analysis of dam based on artificial bee colony algorithm with fuzzy c-means clustering
    Li, Haojin
    Li, Junjie
    Kang, Fei
    [J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2011, 38 (05) : 483 - 492
  • [7] An Image Segmentation Algorithm Based on Artificial Bee Colony and Fast Fuzzy C-means Clustering
    Ma, Miao
    Guo, Hualei
    Guo, Min
    He, Jiao
    Ding, Shengrong
    [J]. 2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 2, 2011, : 108 - 111
  • [8] Gray image segmentation based on fuzzy c-means and artificial bee colony optimization
    Zhi, Hui
    Liu, Sanyang
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (04) : 3647 - 3655
  • [9] Improved Fuzzy C-Means Clustering Algorithm Based on Particle Swarm Optimization Algorithm
    Hu, Quan
    Zheng, Kai
    Wang, Zheng
    [J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2016, 2016, 9937 : 617 - 623
  • [10] An Improved Fuzzy C-means Clustering Algorithm
    Duan, Lingzi
    Yu, Fusheng
    Zhan, Li
    [J]. 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1199 - 1204
12345