说明：Knn classification java rar

说明：In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is deferred until classification. The k-nearest neighbor algorithm is amongst the simplest of all machine learning algorithms: an object is classified by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of its nearest neighbor.

说明：C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.

说明：这是一个完善的RVM算法。其性能良好，代码清晰。能够很好的用于分类。

说明： matlab code for texture classification

说明：使用BP网络实现了对Iris数据的分类，使用了可变学习速率和带动量的梯度下降算法。

说明：图像识别中的分类程序源代码 可作为参考 进行数字图像处理

说明：Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.

说明：Pattern Classification and Pixel Classification

说明：基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。

说明：A MLP code with backpropagation training algorithm designed for classification problems.

说明：The sample application is able to perform both Classification and Regression using Support Vector Machines. It can read Excel spreadsheets and determines the task to be performed depending on the number of the columns in the sheet. If the input table contains two columns (e.g. X and Y) it will be interpreted as a regression problem X –> Y. If the input table contains three columns (e.g. x1, x2 and Y) it will be interpreted as a classification problem <x1,x2> belongs to class Y, Y being either 1 or -1.

说明：Image Recognition and classification

说明：基于opencv的人眼检测分类器，检测精度还不错，希望能给大家带来一些帮助

说明：The paper for Gender Classification

说明：运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、 标行为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。

说明：该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。

说明：快速端口扫描和分类，每秒钟能开200线程

说明：fruit classification using neural networks and multilayer perceptrons with matlab

说明：基于K均值算法的模糊分类器具有很好的分类效果,用它可以很准确的对训练样本进行分类. 此方法是将K均值算法应用于训练数据的聚类,对每个聚类的半径和聚类的中心都是可计算的. 而模糊系统设计方法就是用模糊度来描述聚类, 对训练数据进行高效且准确的分类.

说明：我的模式识别大作业，内含bayers分类，FIsher线性判别，PCA、LDA特征提取，Kmean聚类、Parzen窗算法，程序有注释，并含有测试数据

说明：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

说明：本人的模糊控制课堂作业，基于Sugeno（TSK）推理的模糊控制器

说明：多种实现三组数据集（iris测试数据）分类的算法实现（LMS、MSE、HK等。

说明：用于分类的好程序 ，我看过了，很不错。欢迎大家下载

说明：分布式视频编码程序，不包括传统帧编码部分，仅WZ编码部分，对信源进行了分类，小波变换，LDPC等

说明：统一化LBP算子，作为一种有效的纹理描述算子，对图像局部纹理特征有卓越的描述能力，有很强的分类能力、较高的计算效率，并且对单调的灰度变化具有不变性。

说明：Neural Network with data example for iris flower classification

说明：This is naive bayes classification of documents

说明：K均值进行影像分类，遥感影像分类的方法有很多，如神经网络分类，C均值分类等，K均值分类是其中的一种。