K Nearest Neighbors Software

In this tool, the user can load seven different variables, for example Tmin, Tmax, Rain, Srad, ETo, WSPD, and Humidity. Then, the user can load the input data and run KNN-WG. In this software the user can draw graphs and calculate efficiency criteria: d, NSE, RMSE, MBE, Pearson and Spearman. The user can compare outputs of KNN-WG with other models such as Lars-WG, SDSM, CMIP5, and etc.

IntelligenceLab is a set of Visual C++ components for Artificial Intelligence - Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor. ...

Set of .NET 2.0-4.5 Artificial Intelligence components - Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor. Includes a visual graphical editor for codeless development. Free for non-commercial use. ...

Delphi/C++ Builder VCL/FMX components library for Artificial Intelligence components - Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor. Includes visual graphical editor. Free for non-commercial. ...

A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom. ...

Basic implementation of K-nearest neighbour Algorithm and the application of KNN to classify protein sequences as transmembrane beta barrel or non-transmembrane beta barrel on the basis of whole sequence amino acid composition given as. ...

A GPU-based efficient data parallel formulation of the k-Nearest Neighbor (kNN) search problem which is a popular method for classifying objects in several fields of research, such as- pattern recognition, machine learning, bioinformatics etc.

A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor ...

gaKnn(Genetic Algorithm Optimized K Nearest Neighbor Classification framework) is a frameowork for KNN optimization with a genetic algorithm. The genetic algothm used for this is JGAP (http://jgap.sourceforge.net/).

Please click on "BROWSE ALL FILES" to open a README! What is this program? This program is meant to search the texts and suggest sentences that might follow any inputted sentence. It was meant to help composing the ...

XLSTAT is a complete data analysis and statistics add-in for Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis, parametric tests, non parametric tests, ANOVA, ANCOVA, forecasting methods.

An algorithm for Nearest Neighbour Search. GLTree Pro will provide you with an effective and light-weight algorithm for Nearest Neighbour Search.It has been designed for uniformly random data, but works fine even on sparse ones.