搜索资源列表
-
0下载：
K-Nearest neighbour algorithm-K - Nearest neighbor algorithm
-
-
0下载：
一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳-A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantif
-
-
1下载：
K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
-
-
0下载：
K-PNN Algorithm
a type of k nearest neighbor algorithm
-
-
0下载：
寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially
-
-
0下载：
模式识别中的k近邻算法，用matlab编写，希望对大家有所帮助-K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help
-
-
0下载：
自己编写的近邻法算法，包括k近邻法、两分剪辑和重复剪辑、压缩算法。在文档中给出了一个简单的算法原理说明，详细参考边肇的《模式识别》。注：里面的分类线绘制算法存在一些问题，仅供大家参考修改。-The nearest neighbor algorithm written by myself, including k nearest neighbor, the two sub-editing and re editing, compression algorithm. The document giv
-
-
0下载：
采用改进的K最近邻算法对混沌时间序列进行预测-The improved K-nearest neighbor algorithm to predict chaotic time series
-
-
1下载：
This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.
-
-
2下载：
K邻域模式识别方法 KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight)，如权值与距离成正比。-k-Nearest Neighbor algorithm
-
-
0下载：
k-nearest neighbor algorithm
-
-
0下载：
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
-
-
0下载：
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
-
-
0下载：
K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。-K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.
-
-
0下载：
MLRE算法，选取最优K近邻，是识别率达到更高-MLRE algorithm select the best K-nearest neighbor, is to achieve a higher recognition rate
-
-
0下载：
使用K近邻法设计分类器，对一组数据进行分类-K-nearest neighbor algorithm to design the classifier, to classify a set of data
-
-
1下载：
K邻近快速算法，包含有独立的样本分解算法，树搜索算法，稍作改动便可以满足各种要求。-K adjacent fast algorithm contains a separate sample decomposition algorithm, the tree search algorithm, some minor changes will meet a variety of requirements.
-
-
0下载：
一个小而有效的程序来执行的K近邻搜索算法，
非常适合对K -近邻搜索算法的入学者。-A small but effective procedures to implement the K-nearest neighbor search algorithm is very suitable for K- nearest neighbor search algorithm admission
-
-
0下载：
k最近邻算法，给出训练样本和测试样本，通过样本间欧氏距离或是绝对距离来寻找测试样本的k个近邻，并根据k个实例里多数所属的类将该测试样本归为该类。-k-nearest neighbor algorithm, given the training and testing samples by the Euclidean distance between the samples or the absolute distance to find the k nearest neighbors of th
-
-
0下载：
K近邻算法用于特征提取后的分类，是一种常用分类算法，欢迎各位指正(K nearest neighbor algorithm for classification)
-
