搜索资源列表
Matlab
- 1.计算两类样本的隶属度；2.使用quadprog函数求解svm的拉格朗日乘子；3.主成份分析-1.caculate the membership of 2 samples；2.use quadprog function to get the lagrangian multiplier；3.principle component analasys
pca
- pca算法原理介绍和仿真代码，主要用于数据的聚类，代码时用于图像上的聚类过程，聚类效果很好，就是有点慢-pca algorithm introduces the principle and simulation code, mainly for clustering data, a clustering process images on-time code, clustering works well, is a bit slow
knn_demo
- 可以demo的KNN分类器，对模式识别十分重要的作用，有着较好的分类效果，可以帮助新手更好的理解KNN原理，对人脸识别有着很好的演示作用。-Can demo KNN classifier, the pattern recognition is an important role, has a good classification effect, can help beginners a better understanding of KNN principle, has a very good
distanceKNN
- 可以分别设置度量距离的KNN分类器，有欧式和马氏距离。对模式识别十分重要的作用，有着较好的分类效果，可以帮助新手更好的理解KNN原理，对人脸识别有着很好的演示作用。-Distance can be set respectively KNN classifier, style and markov distance. For pattern recognition is an important role, has a good classification effect, can help be
arbitrage
- 基于沪深300的期现套利，原理是基于期现基差-Based on the Shanghai and Shenzhen 300 arbitrage, the principle is based on the difference between current group
Maltab
- 文件里面是数据挖掘中各种经典算法的MATLAB的源代码，尤其适合不只懂原理不会写代码的人进行数据建模- The document is a variety of data mining algorithms in the classic MATLAB source code, especially for people who do not understand the principle of not only the code to write data modeling
c25
- 一个探究VC++ 异步通信原理与实例的代码，程序同样是基于C/S结构的，分服务端与客户端，程序运行效果请看截图。-A VC++ asynchronous communication principle and examples of the code, the program is also based on the C/S structure, sub-service and client, the program run the results see screenshots.
discretization
- 多种连续变量离散化方法，并且对每种算法的原理进行介绍(A variety of discrete method of continuous variable and the principle of each algorithm is introduced.)
贝叶斯
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类(The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the proba
zowoxsd
- Gauss column principle eliminate for bankdialog systems div hr d()
sklearn-tree-BN-knn
- 分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the dat
数据挖掘导论 完整版
- 讲解数据挖掘中用到的基本算法，描述了算法的数学原理，以及实际应用(Explain the basic algorithm used in data mining, describe the mathematical principle of the algorithm, and practical application)