DocumentCode
314312
Title
Soft nearest neighbor classification
Author
Baram, Yoram
Author_Institution
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
Volume
3
fYear
1997
fDate
9-12 Jun 1997
Firstpage
1469
Abstract
It is shown how soft classification, which allows for the creation of indecision domains near given separation surfaces between two classes, applies to the nearest neighbor method, and how the optimal size of the indecision domain can be found from the training data. The performance of the soft nearest neighbor classifier is compared to that of the conventional classifier using stock trading data
Keywords
finance; forecasting theory; pattern classification; statistical analysis; stock markets; indecision domains; nearest neighbor method; pattern classification; soft classification; stock trading data; Geometry; Joining processes; Nearest neighbor searches; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614012
Filename
614012
Link To Document