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Finding Nearest Neighbors for Multi-Dimensional Data

Authors:
Yong Shi
Marcus Judd

Keywords: Similarity Search, Multi-query, Data Point Weight

Abstract:
Nearest Neighbor Search problem is an important research topic in data mining field. In this paper, we discuss our continuous work on finding nearest neighbors in multi-dimensional data based on our previous research work. The research work presented in this paper improves our original algorithm by analyzing the distribution of data points on each dimension.

Pages: 52 to 55

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-247-9

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013