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GSNNSimulation
- 本文针对SLAM算法中数据关联过程，提出了一种简单易行的改进方法，将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离，而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明，改进后的数据关联方法可以大幅减少系统计算量，提高关联效率，且不会造成错误关联的增加。-This article SLAM algorithm for data association process, a simple method to Euclid
IDASimulation
- 本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using t
EUCLIDEAN_Algorithm
- Euclidean节点定位是由美国路特葛斯大学利用距离矢量路由和GPS定位原理提供出一种分布式自主定位算法-Node localization Euclidean path by the Rutgers Universitys use of distance vector routing and GPS positioning to provide a principle of self-positioning algorithm for distributed
ANT_TSP
- 以matlab撰写的ACO算法，很适合用于研究Ant colony algorithms。-Write a MATLAB program to solve the following given city Euclidean traveling salesman problem (given lattice points) by using ant-cycle algorithm.
CA_Sequential
- 实现了向量的聚类算法，输入三个参数：向量集合、划分数目和设定的阈值，就可得到聚类结果，以欧式距离作为距离判别准则。-Realize the vector of the clustering algorithm, the input three parameters: vector set and the division of number and set threshold, can get clustering results to the Euclidean distance as a c
ISOMAP-Algorithm-Function-xiugai
- 一种实现流形学习ISOMAP的matlab算法 即将mds中的欧氏距离替换为测地距离 保证其拓扑空间不变 实现数据的特征提取-An matlab program that can realize ISOMAP algorithm. To replace the Euclidean distance to the distance measurement.To ensure the realization of the same topological space data feature ext
Mode_similarity
- 按照模式相似性测度算法计算待测样品与样品库中的样品相似度，包括模块匹配法、基于PCA的模块匹配法、基于类中心的欧氏距离法和马氏距离法-Similarity measure in accordance with the mode algorithm to calculate the sample similarity in the sample and sample libraries , including the module matching method based on PCA modu
mhsx
- 基于欧几里得距离的聚类分析算法程序，只需要用户输入矩阵即可完成-Euclidean distance-based clustering analysis algorithm procedure, but requires the user to complete input matrix
Matlab-digital-based-recognition-
- 这6个程序可用于0—9的数字识别，算法包括：基于类中心的欧式距离法、马氏距离法、夹角余弦距离法 、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法，均为基于matlab软件编写的程序。学会了这几个算法，可以在这些程序的基础上进行扩展，对三维模型识别算法的编程有一定的帮助。-6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mah
cantor
- 一、Cantor三分集的递归算法 选取一个欧氏长度的直线段，将该线段三等分，去掉中间一段，剩下两段。将剩下的两段分别再三等分，各去掉中间一段，剩下四段。将这样的操作继续下去，直到无穷，则可得到一个离散的点集。点数趋于无穷多，而欧氏长度趋于零。经无限操作，达到极限时所得到的离散点集称之为Cantor集。-A recursive algorithm selection Cantor ternary set a Euclidean line segment length, the three eq
Neighbor-classification
- 近邻分类，属于模式识别类的。对两类数据分别产生高斯分布数据，用KNN算法看这个数属于哪个类的，并求测试数据和类中每个数据的欧氏距离-Neighbor classification, pattern recognition belongs to the class. Two types of data were generated Gaussian distribution data, to see with this number belongs KNN algorithm class and
NMFPSVM
- 本程序用于基因数据的分类，我自己写了一个基于欧氏距离的费舍尔判据，选取有代表性的基因，最后用NMF将矩阵分解，对得到的矩阵进行分类，分类用的是自带的svm算法-It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is sh
knnalgorithm
- 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
custom-fcm
- 基于多因素权重的MATLAB fcm算法，将MATLAB自带的fcm算法添加因子权重，是度量相似性的欧式距离改为基于因子权重的欧式距离-Multivariate weights MATLAB fcm algorithm, add the factor weights MATLAB comes fcm algorithm is a measure of the similarity of the Euclidean distance to the weight factor based on Eu
LMNN
- 大间隔最近邻居（Large margin nearest neighbor (LMNN)）分类算法是统计学的一种机器学习算法。该算法是在k近邻分类其中学习一种欧式距离度量函数。-Spaced nearest neighbor (Large margin nearest neighbor (LMNN)) classification algorithm is a statistical machine learning algorithms. The algorithm is learning a
fdywfpvm
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，相控阵天线的方向图（切比雪夫加权），基于互功率谱的时延估计，最大信噪比的独立分量分析算法，基于欧几里得距离的聚类分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Phased array antenna pattern (Chebyshev weights), Based on the time delay estimation o
ggsihsva
- 最大信噪比的独立分量分析算法，有循环检测，周期性检测，用于信号特征提取、信号消噪，基于matlab GUI界面设计,基于欧几里得距离的聚类分析。- SNR largest independent component analysis algorithm, There are cycle detection, periodic testing, For feature extraction, signal de-noising, Based on matlab GUI interface desi
指纹定位算法仿真代码
- 定位指纹，室内，算法，欧式距离，最大后验概率，贝叶斯，加权贝叶斯，等(Location, fingerprint, interior, algorithm, Euclidean distance, maximum posterior probability, Bayes, weighted Bayes, etc.)
基于FCM聚类分析的交通判别算法研究
- 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析，利用FCM聚类分析解决了交通状况的判别算法，文件里面还有相关文献！(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
Gistcbir
- 采用Gist算法提取图像特征，采用欧式距离进行相似度计算，返回相似性图像。完整的GUI界面，完整的图像库 注意；根据需要调整图像根目录。(Gist algorithm is used to extract image features, and Euclidean distance is used for similarity computation, and the similarity image is returned. Complete GUI interface, complete