搜索资源列表
KNN(C++)
- knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
knn-dwt
- matlab环境下基于动态规划算法的语音识别系统！-Matlab environment based on dynamic programming algorithm Speech Recognition System!
knn.rar
- k-nn算法实现分类，模式识别作业，分三类，75个训练集，25个测试集，输出对测试集分类的结果,k-nn classification algorithm, pattern recognition operations are classified into three types, 75 training sets, 25 test set, the output of the test set classification results
knn
- knn算法，一种基于matlab的模式识别算法，使用分类识别。-KNN algorithm based on matlab, the pattern recognition algorithm, the use of classification and identification.
knn
- 模式识别中knn算法的powerpoint，适合初学者-Pattern Recognition Algorithm KNN powerpoint, suitable for beginners
classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
parzen
- 这是一个模式识别中的parzen窗的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition in a simple window parzen Category simulation examples, one of female.txt and male.txt training samples, test.txt is the me
ModuleReconizeKNNalgorithm
- KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。-KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.
kNN
- 一种常用的分类器，常用于人脸识别、掌纹识别等模式识别领域。 -A common classification, commonly used in face recognition, palmprint recognition, pattern recognition.
pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
KNN
- 基于VC++编写的模式识别分类中的KNN算法程序-Written in VC++ based on pattern recognition classification of the KNN algorithm program
KNN
- 用k-means算法实现KNN算法，是模式识别中的经典算法再现-K-means algorithm with KNN algorithm is a classical pattern recognition algorithm for reconstruction
Knn
- k紧邻方法进行聚类分析，在模式识别中有重要的应用-k close to the cluster analysis, pattern recognition has important applications
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
kNN
- KNN算法改进约会网站配对效果；KNN实现手写数字识别(KNN algorithm to improve the matching effect of dating sites; KNN handwritten numeral recognition)
KNN
- 分类算法数字识别，KNN算法， 调用代码 import lyqKnn from numpy import * lyqKnn.handwritingClassTest()(Classification algorithm digital recognition)
KNN
- 实施KNN算法，并使用KNN改进约会网站，将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.)
face-KNN
- 用PCA算法和KNN算法实现人脸识别，参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
KNN
- 利用KNN算法识别手写数字，zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv（手写体识别） 测试集为semeion_test.csv 计算在测试集上错误率（k=1,k=3,k=5,k=10） ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test