资源列表
bayes
- 首先对数据进行拆分，分为测试集与训练集，通过训练集进行贝叶斯网络的建模，最后利用建立的模型进行预测或分类任务的R语言代码-First, the data is split into a training set and test set, Bayesian network modeling through the training set, and finally the use of the model to predict or classify tasks R language code
PCA
- 主元分析算法的matlab实现，可实现数据降温处理，模块完整，可直接应用。-Principal component analysis
OPTICS-algorithm
- optics 算法作为基于密度的聚类算法的一种重要的改进，十分有借鉴的意义。-Called algorithm for clustering algorithm based on density is an important improvement, very have reference significance.
PerceptualHash
- 感知哈希算法简单实现，利用opencv实现均值哈希和p哈希算法。-Perception of hash algorithm is simple to implement, using opencv average hash and pHash algorithm.
k-means-cluster
- 分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
LDM
- 对SVM分类方法进行的一种改进方法。将其中的margin改变。-SVM classification method for an improved method. The margin will be one change.
plot_svm_anova
- plot_svm_anova机器学习中大数据挖掘python文件-Machine learning cuhk python file data mining
cf_matrix-decomposition
- 现在比较常用的一种给予举证分解的协同过滤算法，用于个性化推荐-Now more commonly used as a collaborative filtering algorithm decomposition give evidence for personalized recommendation
Association-rules
- 用关联规则分析泰坦尼克存活人员特征,特征选择和存活率- Association rules
apriori
- 用r语言编写的apriori算法 源代码 可直接使用-With r language apriori algorithm source code can be used directly
myKmeans.m
- 模式识别学习中使用matlab编写的Kmeans算法实现的小程序-Learning to use pattern recognition matlab prepared Kmeans algorithm small program
Untitled5
- 数学建模中的一个遗传算法，以生物理论为基础，是数模中的常用的基本算法。-Mathematical modeling of the genetic algorithm