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

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

... Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics, Games AI, OCR, Business logic and more. Free for ...

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 ...

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... filter that support Low Quality, HighQuality, Bilinear, Bicubic, Nearest Neighbor, HighQuality Bilinear, HighQuality Bicubic, GDIColorOnColor, HalfTone resizing algorithm. ...

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

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