搜索资源列表
AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-K-MEANS algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
FullBNT-1.0.4
- Bayesian 神经网络，可用于模型构建中变量的筛选-Bayesian neural network，could be applied for variable selection in model construction
DeepLearnToolbox-master
- 深度神经网络工具包实现，可以作为工具包直接调用，方便应用-Depth neural network tool kit to achieve, you can directly call a toolkit for easy application
Rough-Set
- 学习粗糙集理论的基础，有关于粗糙集的文献，便于更好理解-Learn basic rough set theory, rough set about literature, for better understanding
ems
- 建模优化与评价的理论基础学习，用于统计分析和数据挖掘-Based learning theory and modeling optimization and uation for statistical analysis and data mining
Code-for-classification
- R语言分类算法，可以直接用，简洁方便，适合初学者-R language classification algorithm, can use directly, simple and convenient, suitable for beginners
recommender-
- Collaborative Filtering，基于Collaborative Filtering，建立主动为用户推荐商品的推荐系统。实现参考协同过滤算法或它的优化，实现并改进算法，计算出每个客户对未购买的商品的兴趣度，并向客户主动推荐他最感兴趣的N个商品。实验数据可以从MovieLens.com下载。要求使用至少10，000不同用户的数据，至少1000个不同的movie。-Collaborative Filtering，Based Collaborative Filtering, the in
ctssvm--bfgs
- 对无约束的优化模型利用BFGS算法进行求解-For unconstrained optimization model uses BFGS algorithm to solve
Linear-classifier
- 本资源用matlab代码实现了模式识别的线性分类器，对于线性可分的模式能够正确分类。-The resources used matlab code to achieve a pattern recognition linear classifier, for linearly separable model can correctly classified.
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
nnet
- nnet回归方法的matlab源代码,可用于高维数据的回归，里面含有全面的代码-nnet calibration code for matlab
Fuzzy-Association-Rule-Mining
- thats really work for association mining
R-for-Beginners
- R语言是属于GNU系统的一个自由、免费、源代码开放的软件，它是一个用于统计计算和统计制图的优秀工具,提供相关学习资料-R Language is a free GNU system belong, free, open source software, it is an excellent tool for statistical computing and statistical mapping to provide relevant learning materials
R-Code-for-FS-using-FRQR
- R code for FS using FRQR
Code-for-c4.5
- R code for c4.5 implementation
The case for process mining in auditing
- 流程挖掘的目的是从公司ERP系统维护的事件日志中提取知识。(The case for process mining in auditing)