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A hybrid data structure for searching in metric spaces

Herrera, Norma Edith et al · SEDICI UNLP · 2004

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Author / responsible party
Herrera, Norma Edith et al
Publisher
SEDICI UNLP
Year
2004
Language
English

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The concept of “approximate” searching has applications in a vast number of fields. Some examples are non-traditional databases (e. g. storing images, fingerprints or audio clips, where the concept of exact search is of no use and we search instead for similar objects), text searching, information retrieval, machine learning and classification, image quantization and compression, computational biology, and function prediction. Eje: Base de datos Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Herrera, N. E. E. A. (2004). A hybrid data structure for searching in metric spaces. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21227

MLA

Herrera, Norma Edith et al. A hybrid data structure for searching in metric spaces. SEDICI UNLP, 2004. http://sedici.unlp.edu.ar/handle/10915/21227.

Chicago

Herrera, Norma Edith et al. 2004. A hybrid data structure for searching in metric spaces. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21227.

Harvard

Herrera, N. E. E. A. 2004, A hybrid data structure for searching in metric spaces, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21227 [Accessed 7 Aug. 2026].

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Title
A hybrid data structure for searching in metric spaces
Author / contributors
Herrera, Norma Edith et al
Publisher
SEDICI UNLP
Publication year
2004
Language
English

Subjects

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Ciencias Informáticas; hybrid data structure; searching in metric spaces; base de datos; Metrics
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