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... Naive Bayes - Naive Bayes classifier. - K Nearest Neighbor - K Nearest Neighbor classifier. - Self Organizing Map - Self Organizing ...

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... Naive Bayes - Naive Bayes classifier. - K Nearest Neighbor - K Nearest Neighbor classifier. - Self Organizing Map - Self Organizing ...

... Based on the most up-to date nearest neighbor thermodynamic data, Oligo's search algorithms find optimal primers ...

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The K-nearest neighbors (K-NN) is an analogous approach. This method has ... technique for generating weather data is the K-nearest neighbor (K-NN) resampling approach. The K-NN method is based ... the next day in the simulation period. The nearest neighbor approach involves simultaneous sampling of the weather ...

... with the most accurate melting temperature using the nearest neighbor thermodynamic algorithm. Primers are screened for secondary structures, ...

... Imputation for missing values (PASW Missing Values). · Nearest Neighbor analysis (PASW Statistics Base). · Improved Categorical Regression ...