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Description: 支持中文分类，用了三种算法实现，svm、knn、nb
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Size: 3625571 |
Author: 乐乐 |
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Description: 一个matlab的工具包,里面包括一些分类器 例如 KNN KMEAN SVM NETLAB 等等有很多.-a Matlab tool kits, including some inside classifier for example KNN KMEAN SVM NETLAB etc. plenty.
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Size: 6237184 |
Author: 王世海 |
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Description: Java下面的支持向量机源程序。。可应用于各种领域-Java following SVM source. . Can be applied to various fields. .
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Size: 27648 |
Author: 赵欣 |
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Description: knn文本分类算法，大家都来下载吧
免费的啊-KNN text categorization algorithms, we all to download it for free, ah
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Size: 4962304 |
Author: |
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Description: 支持中文分类，用了三种算法实现，svm、knn、nb-Support the Chinese classification, used the three algorithms, svm, knn, nb
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Size: 6254592 |
Author: 乐乐 |
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Description: SVM,很好用的用于模式识别中特征分类的咚咚。-SVM, a good use for pattern recognition features of the classification of咚咚.
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Size: 23552 |
Author: jinyi |
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Description: 支持向量机用于回归预测的部分，功能强大又简单容易理解，用于模式识别的好工具-Parts of SVM for predict,gteat function and easy to understand, a good machine for classification
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Size: 2048 |
Author: susuxuan |
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Description: 实现SVM及KNN的文本分类算法，可进行相关参数设置-The realization of SVM and KNN algorithm for text classification, the relevant parameters can be set up
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Size: 846848 |
Author: 田雷 |
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Description: This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
are among the most influential data mining algorithms in the research community.With each
algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and
reviewcurrent and further research on the algorithm. These 10 algorithms cover classification
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Size: 635904 |
Author: ParisM |
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Description: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
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Size: 2048 |
Author: sofi |
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Description: 模式识别工具箱函数，包含多种模式识别方法如KNN，PCA，SVM,C4.5,EM算法-Pattern recognition toolbox functions, including a variety of pattern recognition methods such as KNN, PCA, SVM, C4.5, EM algorithm, etc.
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Size: 362496 |
Author: Arthur |
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Description: KNN k nearest neighbours, this is a method to design which cluster the test sample belong to using the KNN algorithm,which is a matlab code worth using and download.-k nearest neighbours, this is a method to design which cluster the test sample belong to using the KNN algorithm,which is a matlab code worth using and download.
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Size: 374784 |
Author: wang bin |
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Description: SVM 神经网络 数据分类预测 葡萄酒种类识别-SVM neural network prediction wines identification data classification
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Size: 37888 |
Author: guanyouyuan |
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Description: SVM支持向量机，利用matlab语言实现，很简单，以word的形式给出--SVM support vector machine, using matlab language is very simple to word given in the form-
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Size: 5120 |
Author: myzone |
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Description: SVM matlab GUI可视化界面 直观形象 代码解释比较详细 对GUI学习和svm学习都有帮助-SVM matlab GUI intuitive visual interface code in the image of a more detailed explanation of the GUI help both learning and svm learning
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Size: 497664 |
Author: myzone |
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Description: 西安电子科技大学博士论文，有关支持向量机的优化问题-Xidian University doctoral thesis, the support vector machine optimization
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Size: 1370112 |
Author: 刘毛毛 |
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Description: OAO SVM classification
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Size: 1024 |
Author: mouh |
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Description: MATLAB cross-validation tool for classification and regression v0.1
FEATURES:
+ K-fold cross validation.
+ Arbitrary train and prediction functions with parameters can be used.
+ Arbitrary loss function can be used.
+ Wrappers for KNN, SVM, GLM, robust regression and decision trees.
+ Wrappers for RMSE, MAD and misclassification loss functions.
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Size: 3072 |
Author: milk |
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Description: 本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction, clustering were done using matlab6.5.
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Size: 173056 |
Author: darren |
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Description: 很实用的MATLAB SVM KNN算法,适合7.0以上的办版本使用。-very good
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Size: 48128 |
Author: 松林 |
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