搜索资源列表
nearest
- 模式识别分类方法中的最近邻准则方法。内有详细说明文档。-Pattern recognition classification criteria of the nearest neighbor method. There are detailed descr iption of the document.
PatternClassification
- source code for pattern classification k nearest neighbor source code
knnVB
- KNN Classifier code and implementation with Visual Basic
K
- K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code
ordinary_algorithm_for_pattern_recognition
- 使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di
1
- 模式识别、窗函数法高斯分布、近邻法高斯分布、Fisher线性变换-Pattern Recognition, Gaussian window function, nearest neighbor Gaussian distribution, Fisher linear transformation
doanproject
- the method of feature extraction using pca and k nearest neighbor for recognition
20257147knn
- knn最近邻算法在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别，具体的算法步骤如下： 一、:根据特征项集合重新描述训练文本向量 二、:在新文本到达后，根据特征词分词新文本，确定新文本的向量表示 三、:在训练文本集中选出与新文本最相似的 K 个文本-knn nearest neighbor algorithm in the given text, to consider in the train
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
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.
code
- Using the nearest neighbor algorithm for clustering and classification of random samples and calculate the classification rate, compared to the algorithm including modified versions
k-nearest-neighbor
- 对大量文件中相关内容的搜索，k近邻查询算法及一些改进-A large number of files in the search k nearest neighbor query algorithm and some improvements
KNSC
- 聚类算法，最近邻系统聚类。 聚类算法，最近邻系统聚类。-Clustering algorithm, the nearest neighbor system clustering
Basic-KNN-Implementation-by-Emre-Aslan
- Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.
nn
- 最近邻算法实现 k近邻 Z为训练集，每行一个样本，n*m labZ为与Z对应的类别，列向量 Z_T为测试集，每行一个样本，p*m labZ_T为输出结果,p*1-Nearest-neighbor algorithm
SNN_algorithm
- 实现SNN（共享最近邻聚类）算法，已测试，可用-Achieve SNN (Shared Nearest Neighbor Clustering) algorithm has been tested available
knn_K-nearest
- 是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-k-Nearest Neighbor algorithm， It is a very useful matlab code.
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
nearestneighbour
- nearest neighbor interpolation for working
K-Nearest Neighbor Classifier
- 调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)