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An Analytical Review on Rough Set Based Image Clustering
Clustering is one of the most vital image segmentation techniques. However, proper image clustering has always been a challenging task due to blurred...
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A string grammar possibilistic-fuzzy C-medians
In the context of syntactic pattern recognition, we adopt the fuzzy clustering approach to classify the syntactic pattern. A syntactic pattern can be...
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Web Usage Mining Cluster Simulation Using K-Means and Fuzzy Approach
The Internet continues to develop at an outstanding rate in both the scale and complexity of Web sites and is properly on its way to being the...
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Comparative Study of Segmentation of Noisy Color Synthetic Image Using FCM and PFCM
In most of the image processing applications, noise is the major concern for the degradation of the feature of the image. The noise arises due to...
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Differential evolution-based transfer rough clustering algorithm
Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of...
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Noise-resistant fuzzy clustering algorithm
The main objective of Fuzzy C-means (FCM) algorithm is to group data into some clusters based on their similarities and dissimilarities. However,...
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Rough Possibilistic Clustering for Fabric Image Segmentation
Fabric image segmentation is very important for fabric designing, fabric manufacturing and textile printing and dyeing. The results of fabric image...
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Clustering Social Network Profiles Using Possibilistic C-means Algorithm
Social networking has become one of the most useful tools in modern society. Unfortunately, terrorists are taking advantage of the easiness of...
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Gray Matter Segmentation and Delineation from Positron Emission Tomography (PET) Image
Gray matter segmentation and delineation from positron emission tomography (PET) are a very essential requirement in medical applications due to low...
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Experimental Analysis of Fuzzy Clustering Algorithms
Fuzzy clustering is an unsupervised technique for partitioning data into fuzzy clusters. Fuzzy clustering has wide applications in various domains of...
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IPFCM Clustering Algorithm Under Euclidean and Hausdorff Distance Measure for Symbolic Interval Data
In this paper, a novel interval possibilistic fuzzy c-means (IPFCM) clustering method is proposed for clustering symbolic interval data. Clustering...
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Image Segmentation Through Fuzzy Clustering: A Survey
In modern years, image processing is a vast area for research. Image segmentation is the most popular part of image processing which divides the...
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Exudates Detection in Diabetic Retinopathy Images Using Possibilistic C-Means Clustering Algorithm with Induced Spatial Constraint
Diabetic Retinopathy (DR) is a progressive ailment and is a prime cause of vision loss in diabetic patients. Presences of exudates in retinal fundus...
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A Novel Clustering-Based Gene Expression Pattern Analysis for Human Diabetes Patients Using Intuitionistic Fuzzy Set and Multigranulation Rough Set Model
Ghosh, Swarup Kr Ghosh, AnupamIn this article, we present an intuitionistic fuzzy set (IFS)-based gene expression pattern classification using...
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A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
The brain tumor is considered the deadly disease of the century. At present, neuroscience and artificial intelligence conspire in the timely...
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Minimizing Remote Monitoring Service Cost of Wireless Sensor Networks Using Krill Swarm Optimization
In wireless sensor networks (WSN), for reliability, load balancing and security reason, various sinks, for the most part, sent for gathering...
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Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers
For prototype-based classifiers, the number of prototypes results in increasing the computational time so that it takes very long time for a...
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Traffic Anomaly Detection Model Using K-Means and Active Learning Method
As the digital world becomes the main complement to the physical world, establishing a solid line of defense against cyber attacks becomes critical...
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Differential Evolution in PFCM Clustering for Energy Efficient Cooperative Spectrum Sensing
Cooperative spectrum sensing (CSS) in cognitive radio network (CRN) is highly recommended to avoid the interference from secondary users (SUs) to...