REDUCING THE DIMENSIONAL DEPENDENCE FOR RANK-BASED SIMILARITY SEARCH
In this paper a data structure for k-NN search, the Rank Cover Tree (RCT) is implemented. The pruning tests for RCT rely on the comparison of similarity values not on the other properties of the underlying space, such as the triangle inequality. Objects are selected according to their ranks with res...
Gespeichert in:
Veröffentlicht in: | International Journal of Advanced Engineering and Science 2016-05, Vol.5 (1), p.10-10 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Schreiben Sie den ersten Kommentar!