Rough Intuitionistic Fuzzy C-Means Algorithm is a combination of Fuzzy Sets, Rough Sets and Intuitionistic Fuzzy Sets. This algorithm provides high quality clustering over numeric datasets. However, RIFCM is highly inconsistent over Image datasets. In this paper, we combine RIFCM with Firefly Algorithm. Firefly algorithm is a meta-heuristic bio-inspired algorithm which mimics the behavior of fireflies. Our experimental results prove that using Firefly algorithm before RIFCM lends stability to the clustering output and considerably reduces the number of iterations required for convergence. © Springer International Publishing AG 2018.

Balakrushna Tripathy

Department of Analytics

School of Computer Science and Engineering

Vellore Campus

Abhay jain

Jain A

Srujan chinta

Chinta S

Tripathy B.K.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Stabilizing Rough Sets Based Clustering Algorithms Using Firefly Algorithm over Image Datasets

Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2 Smart Innovation, Systems and Technologies

The aim of our research is to combine the conventional clustering algorithms based on rough sets and fuzzy sets with metaheuristics like firefly algorithm and fuzzy firefly algorithm. Image segmentation is carried out using the resultant hybrid clustering algorithms. The performance of the proposed algorithms is compared with numerous contemporary clustering algorithms and their firefly fused counter-parts. We further bolster the performance of our proposed algorithm my using Gaussian kernel in place of the traditional Euclidean distance measure. We test the performance of our algorithms using two performance indices, namely DB (Davis Bouldin) indexand Dunn index. Our experimental results highlight the advantages of using metaheuristics and kernels over the existing clustering algorithms. © 2018, Springer Nature Singapore Pte Ltd.

Soft Computing Systems Communications in Computer and Information Science

Kernelised Clustering Algorithms Fused with Firefly and Fuzzy Firefly Algorithms for Image Segmentation

Data clustering algorithms are used in many fields like anonymisation of databases, image processing, analysis of satellite images and medical data analysis. There are several C-Means clustering algorithms in the literature. Besides the hard C-Means, there are uncertainty based C-Means algorithms like the Fuzzy C-Means algorithm and its variants, the Rough C-Means algorithm, the Intuitionistic Fuzzy C- Means algorithm and the hybrid C-Means algorithms (Rough Fuzzy C-Means algorithm). In this paper we propose a new hybrid clustering algorithm called Rough Intuitionistic Fuzzy C-Means and evaluate its performance in comparison to the other algorithms mentioned above. We have applied these algorithms on numerical as well as image data of two different types and used some benchmarking indexes for the evaluation of their performance. The results show that the proposed algorithm outperforms the existing algorithms in almost all cases. © 2013 ACM.

Proceedings of the 6th ACM India Computing Convention on - Compute '13

Rough intuitionistic fuzzy C-means algorithm and a comparative analysis

Applied Soft Computing

A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images

Fuzzy Optimization and Decision Making

Some aspects of intuitionistic fuzzy sets

Stochastic Algorithms: Foundations and Applications,Lecture Notes in Computer Science

Firefly Algorithms for Multimodal Optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)

Rough Set Based Generalized Fuzzy $C$ -Means Algorithm and Quantitative Indices

Journal	Data powered by TypesetInformation and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2 Smart Innovation, Systems and Technologies
Publisher	Data powered by TypesetSpringer International Publishing
ISSN	2190-3018
Open Access	0