Predicting Caesarean Section by Applying Nearest Neighbor Analysis
نویسندگان
چکیده
منابع مشابه
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when dealing with high dimensional data. Moreover, while LDA is guaranteed to find the best directions when each class has a Gaussian density with a common covariance matrix, it can fail if the class densities are more gene...
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Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when dealing with the high dimensional data. Moreover, while LDA is guaranteed to find the best directions when each class has a Gaussian density with a common covariance matrix, it can fail if the class densities are more ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2014
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.05.239