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c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
kdTree
- 最近邻算法的构建，构造kd-tree。是统计学习方法中的经典方法。是其源码实现。-Nearest neighbor algorithm, constructed kd-tree. The classical method is a statistical learning method. Its source code to achieve.
kdtree
- KD-Tree的c++实现，并有文档详细介绍了KD-Tree的实现算法。-KD-Tree of c++ implementation, detailing the implementation of the KD-Tree algorithm.
kd-tree
- K-D树的应用文档，适合对K-D树深入学习的同学。文献对K-D树现状和应用有一定的描述-K- D tree application document, suitable for students to K- D tree in-depth study. Literature on K- D describes the present situation and application of a certain tree
kdtree-realization
- K-d树实现。采用matalb和C++混合编译的方式实现。-kdtree provides a minimalistic implementation of kd-tree. The implementation can be used either inside MATLAB by means of MEX calls, or as a standalone tool, directly a C/C++ program.