资源列表
Apriori-Transaction
- 使用apriorifang方法挖掘频繁项-apriori methods
CCE
- 周志华多标记学习代码 属性约简以及代价敏感测试-Zhou Zhihua multi-label learning codes
LocalOutlierFactor
- Local Outlier Factor algorithm for detection of anomaly samples.
DBNtoolbox-master
- 深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a join
Top10
- 推荐系统 简单top算法 python编程函数-Recommended system is simple arithmetic top
Ontology
- 。通过对领域本体的构建，实现了服务过程所涉及知识的逻辑结构与具体内容的全面语义描述和 后台并联。构建了基于本体的产品服务知识管理系统，该系统能实现产品服务活动案例所涉及知识的 获取和重用，满足知识源于服务活动，又重用于服务活动的循环。最后以某航空发动机非计划维修服务为例，验证了该知识表示方法的有效性。-building．An ontology— based knowledge representation framework was devel— oped for the reuse
Mereotopology
- 一篇介绍Mereotopology的论文，介绍Mereotopology的基本概念和广义粗集表示方法-An introduction Mereotopology paper introduces the basic concepts and Mereotopology generalized representation of rough set
Apriori
- 实现基本的Apriori算法，可以实现数据关联规则的挖掘处理，进行分类预测-To achieve the basic Apriori algorithm can handle data mining association rules, classification and predication
MLKNN
- 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
matlab-PMSM
- 关于MATlab的仿真PMSM的教程，本文件中没有源码-Matlab on the synchronous motor simulation data
Kmodes
- K-modes算法的matlab实现，输入数据集，输出聚类类标号。-The Matlab program of K-modes algorithm
hierarchical-clustering
- 这段代码是层次聚类的Matlab实现代码- This code is hierarchical clustering Matlab implementation code