7 search results - page 1 / 2 » Direct Condensing: An Efficient Voronoi Condensing Algorithm... |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
ICPR
2000
IEEE
13 years 8 months ago
2000
IEEE
2. Character Recognition System The paper is about the problem of finding good prototypes for a condensed nearest neighbor classifiei- in a recognition system. A comparison study ...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....