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nearestneighbouralgorithm
- 模式识别中的最近邻算法用matlab实现，简单易懂，并做了实验，用图像表示聚类结果。-The nearest neighbor algorithm for pattern recognition with matlab implementation, simple to understand, and do the experiment, with images that clustering results.
1
- 模式识别、窗函数法高斯分布、近邻法高斯分布、Fisher线性变换-Pattern Recognition, Gaussian window function, nearest neighbor Gaussian distribution, Fisher linear transformation
get_NH
- 最近邻聚类算法，是经典的聚类算法，能够很好的实现，相信对大家有帮助-Nearest neighbor clustering algorithm
Classifier_K_NN_f
- 利用matlab，knn最近邻分类算法，可直接调用-Using matlab, knn nearest neighbor classification algorithm can be directly invoked
Classifier_NN_f
- 最近邻分类器，matlab环境下，可直接调用-Nearest neighbor classifier, matlab environment, can be called directly
refpaper6_hcrnumkannada
- Abstract. This paper describes a system for isolated Kannada handwritten numerals recognition using image fusion method. Several digital images corresponding to each handwritten numeral are fused to generate patterns, which are stored in 8x8 ma
ImprovedGaitRecognitionApproach
- ：步态识别通过人体走路的姿势来识别人的身份。近年来，步态作为一种生物特征识别技术备受计算机视觉研究者的关注。对某个 人的一个步态序列利用动态 Viterbi 算法得到一个样本姿态序列，对其多个步态样本姿态序列的对应姿态取平均得到这个人的特征姿态序 列，对特征姿态采用主成分分析法和线性判别分析法处理特征空间，并用最近邻法进行识别。利用 CASIA 数据库对本文方法进行验证， 取得了较高的识别率，并对体形变化具有较强的鲁棒性-Human gait recognition is the p
Strict_order_branches_and_comprehensive_algorithm_
- 严格有序分支的快速最近邻及其综合算法Strict order branches and comprehensive algorithm for fast nearest neighbor-Strict order branches and comprehensive algorithm for fast nearest neighbor Strict order branches and comprehensive algorithm for fast nearest neighbor
KNN
- 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
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
kNN_pred
- 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
domaci
- Nearest neighbor algorithm with 10 towns
compute_eig
- 利用主成份分析PCA和傅立叶变换训练图像并用最近邻法进行识别分类-Using principal component analysis PCA and Fourier transform training images and used to identify the nearest neighbor classification method
KNN3
- 最近邻分类器，自己输入数据，实现以最近邻为判据的分类-Nearest neighbor classifier, their input data in order to achieve the classification of the nearest neighbor as the criterion
Klinjin
- 近邻法的基本思想是在测试样本x的k个近邻中，按出现的样本类别来作为x的类别，即先对x的k个近邻一找出它们的类别，然后对x类别进行判别，即在N个训练样本中，找出x的k个近邻。-The basic idea is that neighbors in a test sample x, k-nearest neighbor in categories according to the sample appears as a type of x, ie the first k nearest neighb
cover_tree.tar
- A Cover Tree is a datastructure helpful in calculating the nearest neighbor of points given only a metric.
k_nn_classifier
- k最近邻分类器。编写的一个matlab函数。输入向量Z表示所属的类，返回一个向量，表示由k最近邻分类给定的。-k nearest neighbor classifier. Write a matlab function. Input vector Z that belongs to the class, returns a vector, expressed by the k nearest neighbor classification given.
assignment1
- 差值法+色彩矫正+伽马矫正 其中插值法 运用最少邻算法和双线性算法 来解决灰度图片通过parton之后的变换问题-color interpolation(using Bilinear algorithms and using Nearest Neighbor algorithm) color correction gammar correction
mi
- This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.
qinterp123
- Performs nearest-neighbor or linear interpolation much faster than interp1 when an evenly-spaced lib