Search - matlab knnsearch

Search - matlab knnsearch - List

[matlab] BruteSearch DL : 0: K-nearest neighbors 搜索聚类时经常使用的一种方法国外网站转载- The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and work on double, it is possible to choose if return the distances. Here is a time comparison with a vectrized m-code: N=1000000 number of reference points Nq=100 number of query points dim=3 dimension of points k=3 number of neighbor tic [idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX toc tic [idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE toc p=rand(N,dim) qp=rand(Nq,dim) Output: Elapsed time is 0.962640 seconds. Elapsed time is 18.813100 seconds.
Update : 2025-02-19 Size : 4kb Publisher : Ming
[matlab] knnsearch DL : 0: 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 implemented through vectorization. After discussions with John D Errico, I realized that my algorithm will suffer numerical accurancy problem for data with large values. Then, after trying several approaches, I found simple loops with JIT acceleration is the most efficient solution. Now, the performance of the code is comparable with kd-tree even the latter is coded in a mex file. The code is very simple, hence is also suitable for beginner to learn knn search.
Update : 2025-02-19 Size : 3kb Publisher : 刘晓红
[source in ebook] knnsearch DL : 0: KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors
Update : 2025-02-19 Size : 2kb Publisher : 二
[matlab] knnsearch DL : 0: 利用matlab实现就近点邻域寻找算法，获取指定点k邻域范围内的点集-Using matlab realize the neighborhood looking for the nearest point algorithms, access points within a specified point range k neighborhood
Update : 2025-02-19 Size : 1kb Publisher : 户田
[AI-NN-PR] knnsearch DL : 0: 经典的knn最近邻算法利用matlab的内部JIT加速算法，简单好用，高速时效。-Classic knn nearest neighbor algorithm using matlab internal JIT accelerated algorithm, easy to use, high-speed aging.
Update : 2025-02-19 Size : 1kb Publisher : renzhe0009
[matlab] LDA-human-face-identity DL : 0: 人脸识别的matlab程序，包含有 example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索-Face recognition matlab procedures, including a example: demo program creatData: generate data creatTrainLabelMat: generating data label LDA: extract fisherface knnRecognition: knn classifier knnsearch: knn search
Update : 2025-02-19 Size : 211kb Publisher : PP