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A Classification Algorithm for High-dimensional Data


Abstract With the advent of high-dimensional stored big data and streaming data, suddenly machine learning on a very large scale has become a critical need. Such machine learning should be extremely fast, should scale up easily with volume and dimension, should be able to learn from streaming data, should automatically perform dimension reduction for high-dimensional data, and should be deployable on hardware. Neural networks are well positioned to address these challenges of large scale machine learning. In this paper, we present a method that can effectively handle large scale, high-dimensional data. It is an online method that can be used for both streaming and large volumes of stored big data. It primarily uses Kohonen nets, although only a few ... (more)
Created Date 2015-08-10
Contributor Roy, Asim (ASU author) / W.P. Carey School of Business / Computer Information Systems
Series PROCEDIA COMPUTER SCIENCE
Type Text
Extent 11 pages
Language English
Identifier DOI: 10.1016/j.procs.2015.07.311 / ISSN: 1877-0509
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Citation Roy, A. (2015). A Classification Algorithm for High-dimensional Data. Procedia Computer Science, 53, 345-355. doi:10.1016/j.procs.2015.07.311
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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