An unbalanced approach to metric space searching
Proximity queries (the searching problem generalized beyond exact match) is mostly modeled as metric space. A metric space consists of a collection of objects and a distance function defined among them. The goal is to preprocess the data set (a slow procedure) to quickly answer proximity queries. Th...
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| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2005
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/21087 |
| Aporte de: |
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I19-R120-10915-21087 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas Unbalanced Approach Algorithms Metric Space Searching Metrics |
| spellingShingle |
Ciencias Informáticas Unbalanced Approach Algorithms Metric Space Searching Metrics Chávez, Edgar Ludueña, Verónica Reyes, Nora Susana An unbalanced approach to metric space searching |
| topic_facet |
Ciencias Informáticas Unbalanced Approach Algorithms Metric Space Searching Metrics |
| description |
Proximity queries (the searching problem generalized beyond exact match) is mostly modeled as metric space. A metric space consists of a collection of objects and a distance function defined among them. The goal is to preprocess the data set (a slow procedure) to quickly answer proximity queries. This problem have received a lot of attention recently, specially in the pattern recognition community.
The Excluded Middle Vantage Point Forest (VP–forest) is a data structure designed to search in high dimensional vector spaces. A VP–forest is built as a collection of balanced Vantage Point Trees (VP–trees).
In this work we propose a novel two-fold approach for searching. Firstly we extend the VP– forest to search in metric spaces, and more importantly we test a counterintuitive modification to the VP–tree, namely to unbalance it. In exact searching an unbalanced data structure perform poorly, and most of the algorithmic effort is directed to obtain a balanced data structure. The unbalancing approach is motivated by a recent data structure (the List of Clusters ) specialized in high dimensional metric space searches, which is an extremely unbalanced data structure (a linked list) outperforming other approaches. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Chávez, Edgar Ludueña, Verónica Reyes, Nora Susana |
| author_facet |
Chávez, Edgar Ludueña, Verónica Reyes, Nora Susana |
| author_sort |
Chávez, Edgar |
| title |
An unbalanced approach to metric space searching |
| title_short |
An unbalanced approach to metric space searching |
| title_full |
An unbalanced approach to metric space searching |
| title_fullStr |
An unbalanced approach to metric space searching |
| title_full_unstemmed |
An unbalanced approach to metric space searching |
| title_sort |
unbalanced approach to metric space searching |
| publishDate |
2005 |
| url |
http://sedici.unlp.edu.ar/handle/10915/21087 |
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Repositorios |
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