@inproceedings{cd502bf702f846a08ccb4b6135c80810,
title = "Gravitational weighted fuzzy c-means with application on multispectral image segmentation",
abstract = "This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. A specific weight is associated with each data particle depending on its interaction with other particles. This interaction is induced by attraction forces between pairs of particles and the escape velocity from other particles. Classification experiments using two data sets from UCI repository demonstrate the outperformance of the proposed approach over other clustering algorithms. In addition, results demonstrate the effectiveness of the proposed scheme for segmentation of multispectral face images.",
keywords = "Clustering, Gravity theories, Multispectral images, Segmentation",
author = "{Ben Said}, Ahmed and Rachid Hadjidj and Sebti Foufou",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014 ; Conference date: 14-10-2014 Through 17-10-2014",
year = "2015",
month = jan,
day = "6",
doi = "10.1109/IPTA.2014.7001937",
language = "English (US)",
series = "2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Khalifa Djemal",
booktitle = "2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014",
}