Search Results for "knn"

... descent); classification and regression trees; random forests;  neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students.

Makine Öğrenmesi Matlab de kendi yazdığım KNN ve KMEANS fonksiyonu ve fitctree hazır fonksiyonuyla yapılmış Karar Ağacı projesi

• Objective: Design a Web-based software that predicts the appearance of a new link between two nodes in a social network • Datasets: Dolphin Social Network: https://networkdata.ics.uci.edu/data.php?id=6 • Requirement: Implement the K-NN Algorithm (Section 6.9.1, page 348)

KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.

This implements KNN algorithm.

Speed up kNN searching algorithm by extracting nearest neighbors diectly other than searching them one by one

This project solves the KNN problem using model-based similarity measure on TimeCloud system.

The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.

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/).

KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.