Title :
Soft nearest neighbor classification
Author_Institution :
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614012
