Nearest Neighbor Median Shift Clustering for Binary Data

February 11, 2019 · Entered Twilight · 🏛 International Conference on Artificial Neural Networks

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Authors Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag arXiv ID 1902.04181 Category cs.LG: Machine Learning Cross-listed cs.AI, stat.ML Citations 1 Venue International Conference on Artificial Neural Networks Repository https://github.com/Clustering4Ever/Clustering4Ever ⭐ 130 Last Checked 2 months ago

Abstract

We describe in this paper the theory and practice behind a new modal clustering method for binary data. Our approach (BinNNMS) is based on the nearest neighbor median shift. The median shift is an extension of the well-known mean shift, which was designed for continuous data, to handle binary data. We demonstrate that BinNNMS can discover accurately the location of clusters in binary data with theoretical and experimental analyses.