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A Unified Model for Similarity Searching  (Make Corrections)  
Edgar Chávez, Gonzalo Navarro, Ricardo Baeza-Yates, José L. Marroquín



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Abstract: . The indexing algorithms and data structures for similarity seaching in metric spaces seem to emerge from a great diversity, and different approaches have been proposed and analyzed separately, often under different assumptions. Currently, the only realistic way to compare two different algorithms is to apply them to the same data set. We present a unified model for studying similarity searching algorithms, defining common complexity measures allowing comparison between different... (Update)

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BibTeX entry:   (Update)

@misc{ vez-unified,
  author = "Edgar Chávez and Gonzalo Navarro and Ricardo Baeza-Yates and José
    L. Marroquín",
  title = "A Unified Model for Similarity Searching",
  url = "citeseer.ist.psu.edu/414227.html" }
Citations (may not include all citations):
106   tree: an efficient access method for similarity search in me.. (context) - Ciaccia, Patella et al. - 1997
85   Data structures and algorithms for nearest neighbor search i.. - Yianilos - 1993
78   Near neighbor search in large metric spaces - Brin - 1995
69   Optimal expected-time algorithms for closest point problems (context) - Bentley, Weide et al. - 1980
64   Distance-based indexing for high-dimensional metric spaces - Bozkaya, Ozsoyoglu - 1997
58   A simple algorithm for nearest neighbor search in high dimen.. - Nene, Nayar - 1997
55   Some approaches to best-match file searching (context) - Burkhard, Keller - 1973
35   New techniques for best-match retrieval (context) - Sasha, Wang - 1990
29   Satisfying general proximity/similarity queries with metric .. (context) - Uhlmann - 1991
28   Searching in metric spaces by spatial approximation - Navarro - 1999
26   Proximity matching using fixedqueries trees (context) - Baeza-Yates, Cunto et al. - 1994
25   A cost model for similarity queries in metric spaces - Ciaccia, Patella et al. - 1998
21   Prentice-Hall (context) - Munkres, Course - 1975
20   A new version of the nearest-neighbor approximating and elim.. (context) - Mic'o, Oncina et al. - 1994
19   An algorithm for finding nearest neighbors (context) - Vidal - 1986

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An Effective Clustering Algorithm to Index High Dimensional.. - Chávez, Navarro   (Correct)
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