Optimal subspace dimensionality for k-nearest-neighbor queries on clustered and dimensionality reduced datasets with SVD

Author:

Thomasian Alexander,Li Yue,Zhang Lijuan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference41 articles.

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2. Barbara W, DuMouchel W, Faloutsos C, Haas PJ, Hellerstein JM, Ioannidis Y, Jagadish HV, Johnson T, Ng R, Poosala V, Ross KA, Sevcik KC (1997) The New Jersey data reduction report. Data Eng Bull 20(4):3–42, December

3. Beckmann N, Kriegel H-P, Schneider R, Seeger B (1990) The R*-tree: an efficient and robust access method for points and rectangles. In: Proc. ACM SIGMOD int’l conf. on management of data, Atlantic City, NJ, May 1990, pp 322–331

4. Bergman LD, Castelli V, Li C-S, Smith JR (2000) SPIRE: a digital library for scientific information. Int J Digit Libr 3(1):85–99

5. Bohm C (2000) A cost model for query processing in high-dimensional data space. ACM Trans Database Syst 25(2):129–178

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