搜索资源列表
Approximation4TSP
- 三种解决TSP问题的近似算法的实现：最短链路法、最近插入法和最近邻居法-Approximation algorithm for the realization of three to solve the TSP: the shortest link, nearest insertion method and nearest neighbor
Rotation
- 这是对图片进行旋转的程序，只需设置图片的位置和旋转的角度便可以进行旋转，采用的是最近邻插值算法。-This is a program to rotate the picture, simply set the location of the picture and the angle of rotation can be rotated using the nearest neighbor interpolation algorithm.
knn
- 这是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。 K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。 -This is a small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm J
Fyyalefacea
- 人脸识别matlab程序，yyale人脸库上实现，三阶近邻法 -Face recognition matlab program the yyale face database, the third-order nearest neighbor method
wavelet-transform-using-knn
- 基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
classification
- 一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
cvEucdist
- 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
Signature-recognition-system
- 模式识别-手写签名识别系统识别！使用K近邻，Bayes分类！-Pattern recognition- recognition of handwritten signature recognition system! Using the K-nearest neighbor and Bayes classification!
video_stream_scaler
- 该模块能对视频分辨实时缩放，采用最近邻域和双线性差值算法。该模块可以实时配置输入输出的分辨率、缩放因子，缩放算法类型等参数，也可在编译时采用默认配置。-The Video Stream Scaler (streamScaler) performs resizing of video streams in a low latency manner, resizing with either bilinear or nearest-neighbor modes.The core offers run
KNN_1
- K-Nearest Neighbor, KNN algorithm classifier, with different complexity levels.
nearset
- 最邻近插值的matlab实现代码，可以对图像进行插值，插值的方法为最邻近插值法-The nearest neighbor interpolation matlab code, image interpolation, interpolation methods nearest neighbor interpolation
MyClassifyi
- 本程序主要是实现knn算法，KNN(k Nearest Neighbors)算法又叫k最临近方法，在分类和模式识别方面都有重要的应用。-The program mainly knn algorithm ，KNN (k Nearest Neighbors) algorithm also known as k nearest neighbor method has important applications in classification and pattern recognition.
2D_feature_finding
- 粒子追踪测速的相关程序，所使用的算法为最邻近原则，通过粒子链表形成匹配-Particle tracking velocimetry procedures, the algorithm used for the nearest neighbor principle formed by particles linked list match
KDTree
- 图像配准中，采用基于SIFT求得的特征点配准方法中需要用到的KDTree，求出2最近邻-Image registration needed based on SIFT feature points matching obtained KDTree, find the nearest neighbor
QCKNN
- 基于MD-CKNN算法的连续K近邻查询系统,与传统的Find-NN算法进行性能对比-MD-CKNN algorithm-based continuous K-nearest neighbor query system, its performance is compared with traditional Find-NN algorithm
knn
- 本程序中,训练样本集含有30个样本,矢量长度为5,对样本{1,18,11,11,0.5513196}进行K=5的K-最近邻分类. 样本从文件data.txt中读取，程序运行结果显示所有样本以及其类别，待分类样本所属的类别（{1,18,11,11,0.5513196}属于"2"类），以及它的5个最近邻的类别和与它之间的距离。-In this program, the training sample set containing 30 samples, the vector length
point
- 用分治算法（O(nlogn)复杂度）实现寻找n个点中最邻近点对,输出为最邻近距离的平方-Looking for n points nearest point, the output of the nearest neighbor distance squared using the divide-and-conquer algorithm (O (nlogn) complexity)
k-Nearest-Neighbor
- 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.
DCT
- 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离 散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等 方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出, DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速 度。-A face recognition method based on DCT for face feature extractio
kNearestNeighbors
- min g duplicate data by nearest neighbor-minming duplicate data by nearest neighbor