IEEE - Institute of Electrical and Electronics Engineers, Inc. - High dimensional sparse data Clustering Algorithm Based on Concept Feature Vector (CABOCFV)

2008 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)

Author(s): Sen Wu ; Shujuan Gu ; Xuedong Gao
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2008
Conference Location: Beijing, China
Conference Date: 12 October 2008
Volume: 1
Page(s): 202 - 206
ISBN (CD): 978-1-4244-2013-1
ISBN (Paper): 978-1-4244-2012-4
DOI: 10.1109/SOLI.2008.4686391
Regular:

Finding clusters of data objects in high dimensional space is challenging, especially considering that such data can be sparse and highly skewed. This paper focuses on using concept lattice to... View More

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