CLUSTER ANALYSIS USING HYBRID SOFT COMPUTING TECHNIQUES

被引：0
|
作者：
Purushotham, Swarnalatha [1 ]
Tripathy, B. K. [1 ]
机构：
[1] VIT Univ, Vellore, Tamil Nadu, India
来源：
IIOAB JOURNAL | 2016年 / 7卷 / 05期
关键词：
Cluster Centre Matrix; Fuzzy Membership; Lower and Upper Approximation; Objective Function; Satellite Images;
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
In a given set of data values with several attributes, similar data points can be clubbed together using a clustering architecture that uses global prototypes. These subset prototypes are exchanged so that a communication link is established between different clustering units. In this paper, a detailed clustering methodology is developed by combining both rough and fuzzy set techniques. This methodology shall be used to formulate a grouping of randomly generated unsupervised data that considers the integration of collaborative clustering in fuzzy data sets.
引用
收藏
页码：265 / 274
页数：10
相关论文
共 50 条
  • [1] An optimal cluster based security and resilience of smart home environments using hybrid soft computing techniques
    Saravanan, Thapasimuthu Rajeswari
    Kalaivani, Jeyaraj
    Nagarajan, Govindan
    [J]. COMPUTATIONAL INTELLIGENCE, 2023, 39 (04) : 607 - 630
  • [2] Analysis of Financial Market Using Soft Computing Techniques
    Jankova, Zuzana
    Dostal, Petr
    [J]. EUROPEAN FINANCIAL SYSTEMS 2019, 2019, : 201 - 209
  • [3] Analysis of hybrid soft and hard computing techniques for forex monitoring systems
    Abraham, A
    [J]. PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2, 2002, : 1616 - 1621
  • [4] Special issue on soft computing techniques in cluster and grid computing systems
    Dorronsoro, Bernabe
    Nesmachnow, Sergio
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2014, 17 (02): : 153 - 154
  • [5] Special issue on soft computing techniques in cluster and grid computing systems
    Bernabé Dorronsoro
    Sergio Nesmachnow
    [J]. Cluster Computing, 2014, 17 : 153 - 154
  • [6] Analysis of Edge Detection Techniques Using Soft Computing Approaches
    Jain, Neha
    Kumar, Shishir
    Kumar, Amit
    [J]. 2016 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS), 2016,
  • [7] Analysis of Various Fraud Behaviors Using Soft Computing Techniques
    Priyanka, D.
    Sri, H. V. Bhagya
    [J]. SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 601 - 614
  • [8] Regional Flood Frequency Analysis using Soft Computing Techniques
    Rakesh Kumar
    Narendra K. Goel
    Chandranath Chatterjee
    Purna C. Nayak
    [J]. Water Resources Management, 2015, 29 : 1965 - 1978
  • [9] Regional Flood Frequency Analysis using Soft Computing Techniques
    Kumar, Rakesh
    Goel, Narendra K.
    Chatterjee, Chandranath
    Nayak, Purna C.
    [J]. WATER RESOURCES MANAGEMENT, 2015, 29 (06) : 1965 - 1978
  • [10] Review of Sentiment Analysis Techniques using Soft Computing Approaches
    Jha, Upasana
    Tyagi, Lakshya
    Kansal, Divya
    Chakraborty, Subheeha
    Singhal, Abhishek
    [J]. 2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 119 - 124
12345