搜索资源列表
EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
knn
- 8个采样点的k近邻算法,结果用语言表示 两个类别
knearest
- k近邻算法的c++实现，在vs2003上编译通过
KNearestclass
- 使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。
knn
- knn k近邻算法，可选择欧式距离或者曼哈顿距离
knn_myself
- 一个自己编写的K近邻算法，是学习算法编写过程中最简单的一个哦，学习算法想自己学编程的可以看-A imagecut.rar K neighbor algorithm, is in the process of learning algorithm to write the most simple a oh, learning algorithm to learn programming can see
kNN_predict
- 采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。-Predict time series using kNN.
demo
- 实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
KNN
- 数据挖掘导论中的K近邻聚类算法，用C++编写而成。-Introduction to Data Mining of the K neighbors clustering algorithm, using C++ has been prepared by.
knn
- knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
kNNregression
- k近邻算法，实现机器学习中的回归功能，参数k需要自己选择-k nearest neighbor algorithm to achieve regression in the machine learning field
knn
- K近邻算法在MATLAB中的通过编写代码来实现的样例-K nearest neighbor algorithm in MATLAB by writing code in the sample achieved
1673-3851(2011)03-0384-05
- k近邻算法和KALMAN滤波相结合的一个实例论文-k nearest neighbor algorithm and the KALMAN filter paper an example of combining
KNN_Matlab
- K近邻分类的Matlab算法，简单，适合初学，验证可用-KNN
K-nearest
- 关于K近邻算法的详细描述，包括算法原理及应用背景。-K-nearest neighbor algorithm on a detailed descr iption, including algorithm theory and application background.
K-
- 给出了一种基于距离的模糊隶属度定义形式，通过这种定义来改进K-近邻算法，得到一种自己定义的模糊K-近邻算法。同时本文中给出编程流程，编程思想以及实验结果。-A distance-based definition of fuzzy membership form, by this definition to improve K-nearest neighbor algorithm to obtain a defined fuzzy K-nearest neighbor algorithm. The
K-nearest-neighbor-algorithm
- 从K近邻算法、距离度量谈到KD树、SIFT+BBF算法,讲解详细，非常有用-From K neighbor algorithm and distance measurement when it comes to KD tree, SIFT+ BBF algorithm, explain in detail, very useful
k-nn
- k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical al
KNN python
- 关于K近邻算法的简单实现和一些例子，其中包括手写数字的识别(Simple implementation of K nearest neighbor algorithm and some examples)
K-Nearest Neighbor Classifier
- 调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)