搜索资源列表
PatternRecognition
- 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法
knn_myself
- 一个自己编写的K近邻算法，是学习算法编写过程中最简单的一个哦，学习算法想自己学编程的可以看-A imagecut.rar K neighbor algorithm, is in the process of learning algorithm to write the most simple a oh, learning algorithm to learn programming can see
kNN_predict
- 采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。-Predict time series using kNN.
KNN11
- matlab有关K近邻分类算法，很不错，-matlab knn
knnsearch
- 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-A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantif
neighbor
- 使用K近邻方法对给定的一个样本进行分类。-K nearest neighbor method using a sample of a given classification.
classification
- 灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
LDA_KNN
- 对随机选择的iris数据，用LDA进行特征提取，然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
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
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.
knn
- 这个程序是用来寻找每个图像的K近邻的，然后得到了一个权值矩阵-This program is used to find K-nearest neighbor of each image, and then get a weight matrix
knnmatlab
- 不同的K近邻分类算法，基于matlab开发，不错。-matlab knn classification
kjl
- k近邻-k nearest neighbor
knn
- K近邻算法在MATLAB中的通过编写代码来实现的样例-K nearest neighbor algorithm in MATLAB by writing code in the sample achieved
1673-3851(2011)03-0384-05
- k近邻算法和KALMAN滤波相结合的一个实例论文-k nearest neighbor algorithm and the KALMAN filter paper an example of combining
Tri-traing-by-myself
- 一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training
knn
- k近邻准则matlab实现，适合初学者。-K neighbor standards matlab, is suitable for beginners.
SVM-KM
- K-近邻支持向量机回归，工具箱，全程Matlab-K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost
MLRE
- MLRE算法，选取最优K近邻，是识别率达到更高-MLRE algorithm select the best K-nearest neighbor, is to achieve a higher recognition rate
KClassify
- 使用K近邻法设计分类器，对一组数据进行分类-K-nearest neighbor algorithm to design the classifier, to classify a set of data