- Tytuł:
- Effect of choice of dissimilarity measure on classification efficiency with nearest neighbor method
- Autorzy:
- Górecki, Tomasz
- Powiązania:
- https://bibliotekanauki.pl/articles/729668.pdf
- Data publikacji:
- 2005
- Wydawca:
- Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
- Tematy:
-
nearest neighbor method
discriminant coordinates
dissimilarity measures
estimators of classification error - Opis:
- In this paper we will precisely analyze the nearest neighbor method for different dissimilarity measures, classical and weighed, for which methods of distinguishing were worked out. We will propose looking for weights in the space of discriminant coordinates. Experimental results based on a number of real data sets are presented and analyzed to illustrate the benefits of the proposed methods. As classical dissimilarity measures we will use the Euclidean metric, Manhattan and post office metric. We gave the first two metrics weights and now these measures are not metrics because the triangle inequality does not hold. Howeover, it does not make them useless for the nearest neighbor classification method. Additionally, we will analyze different methods of tie-breaking.
- Źródło:
-
Discussiones Mathematicae Probability and Statistics; 2005, 25, 2; 217-239
1509-9423 - Pojawia się w:
- Discussiones Mathematicae Probability and Statistics
- Dostawca treści:
- Biblioteka Nauki