A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms
Fuzzy clustering is a well-established technique among the well-known clustering
techniques in several real-world applications due to easy implementation and produces …
techniques in several real-world applications due to easy implementation and produces …
Effective FCM noise clustering algorithms in medical images
SR Kannan, R Devi, S Ramathilagam… - Computers in biology and …, 2013 - Elsevier
The main motivation of this paper is to introduce a class of robust non-Euclidean distance
measures for the original data space to derive new objective function and thus clustering the …
measures for the original data space to derive new objective function and thus clustering the …
Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm
In the modern era, there is a sudden rise in data due to the wide use of the web, social
networks and so on. Now, it becomes difficult to explore desired data from such fused …
networks and so on. Now, it becomes difficult to explore desired data from such fused …
Application of Hierarchical Clustering Approach for Prediction of Grain Size in Heat-Treated EN9 Steel
One of the simplest, most popular, and productive ways to conduct research and testing in
the field of materials science is through the use of metallographic study. Technological boon …
the field of materials science is through the use of metallographic study. Technological boon …
Volumetric assessment of human brain morphology using pixel counting technique
K Nithyakalyani, R Kalpana… - … Conference on Science …, 2014 - ieeexplore.ieee.org
Morphometric measurements such as volume, thickness and sulcal depth are used to
provide valuable information about cortical characteristics in both healthy and diseased …
provide valuable information about cortical characteristics in both healthy and diseased …
[PDF][PDF] A novel pixel counting technique to assess the volumetric changes in human brain morphology
K Nithyakalyani, R Kalpana, S Sudhakar… - Biosciences …, 2015 - core.ac.uk
Morphometric measurements such as volume, thickness and sulcal depth are used to
provide valuable information about cortical characteristics in both healthy and diseased …
provide valuable information about cortical characteristics in both healthy and diseased …
Segmentation of multiple sclerosis plagues by robust fuzzy clustering with spatial information
H Özyavru, N Özkurt, S Men - 2011 International Symposium on …, 2011 - ieeexplore.ieee.org
In this study, a fuzzy clustering method has been proposed in order to segment brain tissues
affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring …
affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring …
A kernel fuzzy clustering infrared image segmentation algorithm based on histogram and spatial restraint
S Li, J Ma - 2016 9th International Congress on Image and …, 2016 - ieeexplore.ieee.org
Because the contrast of the image for guiding the highspeed infrared air-to-air missile is low,
its signal to noise ratio is poor and the target and its background gray-scale coupling is …
its signal to noise ratio is poor and the target and its background gray-scale coupling is …
Object Detection using GM based Clustering Algorithms
S Panda, AK Agrawal - … and Communication: Proceedings of ICAC 2020, 2021 - Springer
Object detection of a moving object under variable illumination condition is one of the
inspirational tasks for the researchers. In order to do so, background subtraction plays a vital …
inspirational tasks for the researchers. In order to do so, background subtraction plays a vital …