@inproceedings{3ab15e74e04148d285f74b2efa3d28ac,
title = "Data driven bandwidth for medoid shift algorithm",
abstract = "Adaptive data driven bandwidth for medoidshift algorithm has been proposed in this work. The proposed method has made it possible to perform clustering on a variety of high resolution statistically different images. Experiments are performed on natural images as well as daily life images. The images have been chosen such that a comparison analysis between fixed sample point estimator k and adaptive k can be carried out in detail. The results show that a fixed value of k=10 is good for statistically compact images but gives undesirable results in dispersed images. Data driven bandwidth is proposed for each data point/ pixel as well as the complete data set/ image. Experimental results have shown our algorithm to be robust. Performance is evaluated on the basis of root mean square error for the quality of clusters.",
keywords = "Adaptive Meanshift, Adaptive Medoid Shift, Data Driven Bandwidth, Meanshift",
author = "Gilani, {Syed Zulqarnain Ahmad} and Rao, {Naveed Iqbal}",
year = "2011",
doi = "10.1007/978-3-642-21887-3_41",
language = "English",
isbn = "9783642218866",
volume = "6783 ",
series = "Lecture Notes in Computer Science",
publisher = "Springer-Verlag London Ltd.",
number = "2",
pages = "534--546",
editor = "Beniamino Murgante and Osvaldo Gervasi and Andr{\'e}s Iglesias and David Taniar and Apduhan, {Bernady O.}",
booktitle = "Computational Science and Its Applications - ICCSA 2011",
address = "Germany",
note = "2011 International Conference on Computational Science and Its Applications, ICCSA 2011 ; Conference date: 20-06-2011 Through 23-06-2011",
}