搜索资源列表
Ipso
- 提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息-Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the select
KNN
- 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor
MATLAB
- k近邻算法 均值算法 中值算法 针对高斯和椒盐图像去噪-means algorithm k nearest neighbor algorithm in the value of denoising for Gaussian and salt and pepper
Nearest-neighbor-interpolation
- 使用最近邻插值法对图像进行缩放处理的matlab程序-Using the nearest neighbor interpolation image zoom processing matlab program
matlab
- 复杂网络相似性指标的实现和对比，同时可以实现无标度网络和邻耦网络两个复杂网络的预测。并对预测结果进行评估。改进了预测算法，提出了预测精度评价的新指标，使精度评价更准确。-Implementation and comparison of the complex network of similar indicators, and can achieve scale-free network and neighbor coupled network prediction of two complex
KN-nearest-neighbor
- KN近邻估计法的matlab实现，程序已经实现，源程序和结果图像放在word中。-KN nearest neighbor estimation method matlab implementation, the program has been achieved, the source and the results of the image on the word.
matlab-_scaler
- 分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。-Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab
matlab
- 图像插值算法有三种：最近邻插值、双线性插值和双三次插值，这里有前两种插值算法的matlab程序-Image interpolation algorithm has three: nearest neighbor interpolation, bilinear interpolation and bicubic interpolation, here are the first two interpolation algorithm matlab program
Nearest-neighbor-classifier
- 本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
MATLAB
- 采用邻近插值法和双线性插值法图像进行缩放和旋转-In neighbor interpolation and bilinear interpolation image scaling and rotation
K-nearest-neighbor-averaging
- matlab 分别利用邻域平均和K点平均对椒盐噪声图像，高斯噪声图像，乘性噪声图像进行处理，比较两者的差别-matlab use neighborhood were average and K-point average for salt and pepper noise image, Gaussian noise images, image processing multiplicative noise, compare the difference between the two
k-nearest-neighbor-estimation
- 模式识别实验 k最近邻估计MATLAB程序-Pattern recognition experiments k nearest neighbor estimation MATLAB program
Matlab
- 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙
Nearest-neighbor-classification-code
- 最近邻分类器代码和数据，MATLAB程序，可对数据进行计算距离，识别距离最近的数据。-Nearest neighbor classification code and data, MATLAB program, the data can be calculated the data identify the nearest.
MLkNN
- ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
cc518
- allan FOG output error variance analysis, matlab prepared cellular automata, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
jengganlan
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The entire training process BP neural network.
Spectral_ClusteringNJW
- 谱聚类能够识别任意形状的样本空间且收敛于全局最优解，其基本思想是利用样本数据相似矩阵的进行特征分解后得到的特征向量进行聚类，程序进行了几种不同聚类算法的比较，包括Q矩阵聚类，kmeans聚类，第一特征分量聚类，第二广义特征分量聚类，公用数据生成和近邻矩阵生成(Spectral clustering can distinguish arbitrary sample space and converge to the global optimal solution, the basic idea i
kNN-classifier-master
- K Nearest Neighbor (KNN) Class...
G1
- AN ENERGY EFFICIENT SELECT OPTIMAL NEIGHBOR PROTOCOL FOR