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- 基于VC的各种聚类和分类算法程序。 手写数字或者打开已有的手写数字图像后,在右视图空白处,单击鼠标左键,激活右视图,选择菜单中的各种分类算法,可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。 在左视图上单击鼠标左键,可获得3种数据源:标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a
29782208qq
- 换肤程序数量减少垃圾分类数据分类数据法律解释-change skin
fenlei
- 分类数据挖掘的ppt介绍 分类数据挖掘的ppt介绍-an introduction for classification of data mining
tuxedo_io_monitor1
- linux系统下,不同磁盘io数据分类及数据整合-iostat data monitor
shenjing
- 使用bp神经网络进行分类。包括鸢尾花数据,以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes.
Bayesianclassifierfortextclassificationalgorithms.
- 用于文本分类的朴素贝叶斯分类算法,包括代码和测试数据-Naive Bayesian Text Classification for classification algorithms, including the code and test data
text_data_mining
- java编写的数据挖掘方面的代码,里面包含有文本分类,作者身份识别方面的java源码,本人亲自参与编写-java code about data mining;include:text cluster ,authorship identification,
Perl
- perl 实现数据分类 tokenization,抽取feature selection,文件分类documentation classification-The project’s goal is to provide an application to provide a brief list for a set of books in xml format then maybe people can through this list to decide which book
Face_Angle_Neural_net
- 基于matlab的编程实现神经网络BP算法实现数据的分类-matlab bp
supermarket
- 大四上学期做的一个人工智能里有关数据挖掘的课程设计,里面包括数据挖掘算法和数据库文件。。。对于想学好人工智能的非常有用-Last semester to do a senior artificial intelligence in the design of data mining programs, which include data mining algorithms and database files. . . The artificial intelligence is very u
bp
- 基于MATLAB的BP神经网络的数据分类的实现。-MATLAB-based BP neural network implementation of data classification.
the-least-square-error-algorithm
- 线性分类器-最小平方误差算法,对一组数据进行分类,分析b1、b2改变对结果的影响-Linear classifier- the least square error algorithm
svm
- 线性SVM算法设计分类器,对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVMinPR
- 模式识别中支持向量机的应用。在图像识别,多维数据分类中有很好的应用。-Pattern recognition Support Vector Machine. In image recognition, multi-dimensional data classification has a good application.
BMPM-1.0
- 基于最小最大概率学习机的数据分类程序,里面有demo-Maximum learning machine based on minimum probability of data classification
SVMClassification
- 实现SVM数据挖掘分类模型,主要构造了SVM分类器。-Data mining to achieve SVM classification model, the main structure of the SVM classifier.
K_means
- 用K_means算法在UCI数据集上实现数据分类,所用数据源为Optical Recognition of Handwritten Digits-Algorithm with K_means UCI data sets for data classification, data source used for the Optical Recognition of Handwritten Digits
Hierarchical
- 用层次分析算法实现在UCI数据集上的数据分类,所用数据源为Optical Recognition of Handwritten Digits-AHP algorithm using data sets in the UCI data classification, data source used for the Optical Recognition of Handwritten Digits
HKCLASS
- HK算法,Visual Studio2005实现,输入数据使用.txt文档,只支持2维数据分类-HK algorithm, Visual Studio2005 implementation, the input data used. Txt document, only support two-dimensional data classification
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法,并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam