Indexing and Searching for Reduced-Dimensional Vectors
Seungdo Jeong, Sang‐Wook Kim, Byung-Uk Choi · 2010
In this paper, we first address the problems associated with indexing and searching for reduced-dimensional vectors, which are reduced by using a combination of angle approximation and dimension grouping. Then, we propose a novel method to solve the problems. We also show the superiority of the proposed method by performing extensive experiments with synthetic and real-life data sets.