@inproceedings{2925f32a5ed64e6d8ec698c3624816a2,
title = "Emitter recognition based on modified X-means clustering",
abstract = "This paper presents a new algorithm to divide multi-dimensional data into clusters. It enhances the K-Means clustering algorithm [1] so that the number of clusters is determined at run time. The paper uses radar classification problem as an example application. Most of naturally existing processes possess Gaussian distribution because of central limit theorem. This paper assumes that parameters of radars are Gaussian. Chi-Squared test for goodness of fit is used for evaluating the hypothesized distribution from sampled data. The data is divided and output of chi-squared test is used to decide whether to carry on sub-clustering or not. Test results on simulated data are shown to demonstrate the working of algorithm.",
author = "Yasir Javed and Bhatti, \{A. I.\}",
year = "2005",
doi = "10.1109/ICET.2005.1558907",
language = "English",
isbn = "0780392477",
series = "Proceedings - IEEE 2005 International Conference on Emerging Technologies, ICET 2005",
pages = "352--358",
booktitle = "Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006",
note = "IEEE 2005 International Conference on Emerging Technologies, ICET 2005 ; Conference date: 17-09-2005 Through 18-09-2005",
}