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svm_perf.tar.gz
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
pcaexpressprot
- We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
knnPcaWithGA
- In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by K-In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification i
C1
- 本内容属于本人参编课本《新概念C语言程序设计》的开始章节压缩版本，仅供C语言爱好者参考-I supervised the part of the contents of textbooks, " the new concept of C language programming," the beginning of the compressed version of the chapter, only C language aficionados
semi-ga
- 半监督遗传算法，基于kmeans的半监督遗传算法-Semi-supervised genetic algorithm, based on the semi-supervised genetic algorithm kmeans
Semi-Supervised_Learning_With_SVMs
- 利用支持向量机进行半监督学习的详细的文档，包括了部分伪代码，具有很大的参考价值-Using support vector machine semi-supervised learning of detailed documentation, including some pseudo-code, has great reference value
dtkirsch-hmm-v0.2.0-0-g7feffa1
- 这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
SVM3
- A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
Classifier
- 一个半监督数据流集合分类器程序，其中每个单分类器采用k均值聚类算法。-A semi-supervised data flow classifier using k-means clustering algorithm.
cal_class
- ENVI二次开发分类代码；里面包含了7种分类方法，其中5种是监督分类，2种是非监督分类-ENVI secondary development classification code Contains seven kinds of classification methods, including five is supervised classification, two is a supervised classification
kmeans
- 经典算法kmeans的实现，适用于已知聚类数目的弱监督学习-Kmeans classical algorithm implementations for a known number of clusters weakly supervised learning
SVMMM
- this matlab source code is algorithm for classification images that is non-parametric and supervised method for classification
ImageData
- this matlab source code is algorithm for classification images that is non-parametric and supervised method for classification
C-code
- this matlab source code is algorithm for classification images that is non-parametric and supervised method for classification
sfikasLibrary100202
- this matlab source code is algorithm for classification images that is non-parametric and supervised method for classification
smap
- this matlab source code is algorithm for classification images that is non-parametric and supervised method for classification
Machine learning
- ML supervised Learning
2-Supervised Learning
- 2-Supervised Learning