搜索资源列表
svmcls
- 基于KNN+SVM算法的文本分类器,附带权威的分词词库及算法,有界面,程序可正常使用-KNN+ SVM-based text classification algorithm, with the authority of the sub-word thesaurus and algorithm, a interface, the program can be used normally
KNN
- 本程序是用Matlab编写的用KNN算法解决文本分类问题的程序。-The program is written in Matlab using KNN algorithm to solve the text classification procedures.
knn
- knn用于分类的matlab源码,短小精悍-knn matlab source code for the classification, dapper
C
- K最近邻(K-Nearest Neighbor,KNN)分类算法,是一个理论上比较成熟的方法,也是最简单的机器学习算法之一。-K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.
gaborsvm1
- 先用gabor 小波滤波器,做特征提取,然后用支持向量机(SVM)做分类,来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM)for classification.matlab 2010 required.
KNN
- 这是一个用于自然语方处理的分类算法(KNN算法)人源代码-the source code of KNN algorithm in NLP
testKNN
- KNN 分类器的VC实现。。。可以直接运行。-KNN classifiers realize the VC. . . Can be directly run.
yunxing
- PCA+KNN人脸分类,对于给定样本,训练其中的一部分,在pca降维后,用knn分类-PCA+KNNFace classification
recognition
- 本实验语音库为免费的柏林情感语音库,其采样频率为16KHZ,16bit量化。该语音库共有500 句情感语音信号,分别由十名专业演员(5 男,5 女)在不同情感状态下(高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨)朗读十句不同文本的德语组成。本实验选取其中的部分情感(高兴、愤怒、悲伤)加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响,本文实验过程中将提取的情感特征进行归一化处理。归一化
TextClassify-KNN-SVM
- 根据语料库对文本进行分类,有界面,KNN、贝叶斯方法-According to the corpus, text classification KNN, bayesian
knn-class-1-mushrooms.tar
- 机器学习中,利用kNN进行Mushroom数据集分类-Classification for Mushroom data set with the using of kNN.
knn
- 基于KNN算法的鸢尾花分类代码,可一直在matlab上运行。-Iris classification code based on the KNN algorithm, has been running in matlab.
knnclassification
- 这是一个KNN分类器的matlab函数(K近邻分类器),可自由选择参数k-it s a KNN classifier program of the matlab ,you can chose the parameter k to conduct the classify procedure
knn
- K近邻分类器,用于模式识别等领域,该程序短小精悍,适合与ANN和SVM进行比较研究,本人多篇论文用到,效果较好。-K-nearest neighbor classifier is often used in pattern recognition and other fields. It is suitful for a comparative study with ANN and SVM. I have published some papers used the code. The effe
KKNNn
- Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。 -The Knn algorithm summarized flexible KNN algorithm, an efficient knn classification algorithm method, an improved KNN classification algorithm, an optimized K nearest neighbor collabor
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
KNN
- 基于KNN的增量学习算法相关文档,主要用于文本分类-KNN-based incremental learning algorithm related documentation, mainly for text classification
分类算法代码
- 这是关于分类中的一种算法,是K阶邻近算法,即KNN代码.
knn
- 本程序中,训练样本集含有30个样本,矢量长度为5,对样本{1,18,11,11,0.5513196}进行K=5的K-最近邻分类. 样本从文件data.txt中读取,程序运行结果显示所有样本以及其类别,待分类样本所属的类别({1,18,11,11,0.5513196}属于"2"类),以及它的5个最近邻的类别和与它之间的距离。-In this program, the training sample set containing 30 samples, the vector length
KNN
- 最邻近节点KNN算法的java编程实践,能够实现分类-Nearest node KNN algorithm java programming practice, be able to achieve the classification