搜索资源列表
knn
- 在visual basic环境下，实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
KNN
- KNN clustering with php
KNN
- K Nearest Neighbor algorithm Implementation and Overview
KNN
- Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。-Algorithms Knn, flexible KNN algorithm, an efficient knn classification algorithm, an improved KNN classification algorithm, an optimized K-nearest neighbor collaborative filtering algorith
zuijinlin
- 是一种数据最近邻的c聚类程序，实现效果较好-Is a data of the c nearest neighbor clustering procedure, to achieve better results
BFS
- In graph theory, breadth-first search (BFS) is a graph search algorithm that begins at the root node and explores all the neighboring nodes. Then for each of those nearest nodes, it explores their unexplored neighbor nodes, and so on, until it finds
KNN
- 源码完成了对数据的K近邻分类，并且可以计算正确率-Source completed the K-nearest neighbor classifier on the data and can calculate the correct rate
Kode-Program-Algoritma-Nearest-Neighbor
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
knn
- K nearest neighbor algorithm
neighbor
- 计算近邻原子数的，包括第一近邻、第二近邻等等，需要原子坐标作为初始输入文件-Calculate the number of nearest neighbor atoms, including the first neighbor, second neighbor, etc., need atomic coordinates as the initial input file
dem_interpolation
- DEM內差,簡單有限元DEM內插方式，包還最鄰近指定法、雙線性法、立方迴旋法。-Poor, simple finite element DEM interpolation of DEM, specify the method of the package also nearest neighbor, bilinear method, cubic roundabout method.
ANNTest
- 查找二维和三维空间中K最近邻点的算法，在Approximate Nearest Neighbor Searching（ANN）的基础上进行了包装，易于使用。-Find the two-dimensional and three-dimensional space of K nearest neighbor algorithm, Approximate Nearest Neighbor Searching (ANN) based on the packaging.
knn
- knn实现，详细的最近邻算法的实现方法，简单易懂-knn achieve detailed nearest neighbor algorithm, easy to understand
KNN_1
- K-Nearest Neighbor, KNN algorithm classifier, with different complexity levels.
cvEucdist
- 欧几里得距离是一种数学计算矩阵距离的算法，可用于图像分类时查找最近邻的距离。-Euclidean distance is a mathematical algorithm to calculate the distance matrix can be used for image classification when looking for the nearest neighbor distance.
KNN
- K-NN k-Nearest Neighbor classification algorithm-K-NN k-Nearest Neighbor classification algorithm
Image_distortion
- 图像扭曲变形 目标：编写一个图像扭曲变形程序，可以对图像进行扭曲变形。 （1）扭曲变形方式： 必做： 旋转扭曲/球面镜变形（二选一） B样条网格变形 选做：TPS网格变形 （2）插值方法比较 最近邻插值 双线性插值（bilinear） 双三次插值（bicubic） 作业要求： 提交程序源代码、执行码以及实验报告（包括：变形函数的选取与设计，使用插值方法的介绍与分析，程序框图，实验结果及分析等）。-Image distortio
nearneighbor
- Computes the nearest neighbor interpolation of MOLA data Oleg Abramov Planetary Image Research Laboratory abramovo@pirl.lpl.arizona.edu version 0.2 - Computes the nearest neighbor interpolation of MOLA data Oleg Abramov
123
- 该程序实现K-均值聚类算法达到K-均值聚类的功能，与凝聚算法 最近邻聚类算法达到最邻聚类的功能。 -The program implements K- K- means clustering algorithm to achieve functional means clustering, and cohesion algorithm- nearest neighbor clustering algorithm to achieve the most-neighbor clustering.
非参数估计SO2浓度
- 用5种非参数方法：线性样条、B样条、N-W核估计、最近邻估计、局部多项式对某地SO2浓度数据进行拟合。(5 non parametric methods: linear spline, B spline, N-W kernel estimation, nearest neighbor estimation, and local polynomial are used to fit the SO2 concentration data in a certain area.)