资源列表
EMOTION
- 介绍了情感分析与数据挖掘的相关算法，大数据智能-Introduces the sentiment analysis algorithms and data mining
KPCA-ELM
- 基于Stprtool 工具箱进行KPCA降维，然后运行ELMS算法。-Stprtool calculation based on KPCA and then ELM algorithm prediction.
irtlab-master
- Matlab 的生物数据预处理程序包，包含多种预处理方法-Biological data preprocessing Matlab package that contains a variety of pretreatment methods
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
nlp
- 基于贝叶斯网络的网络评论情感分类，Java实现，内附评论数据包-Based on Bayesian Network Web reviews sentiment classification, Java implementation, the packet included a review
fp_growth
- 数据挖掘的FPgrowth算法，快速的获得频繁项集-FPgrowth data mining algorithms, fast access to frequent item sets
weka-src
- 这是有关weka类的代码，里面介绍了关于分类 聚类的有关算法-It is about weka class code, which provides information on the classification of clustering algorithm
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
cluster_Matlab
- 这里比较了几种聚类算法，包括普聚类，kmeans等。-Here compared several clustering algorithms, including Cape clustering, kmeans like.
weka
- 这是有关weka的介绍 里面有关于分类 聚类 和数据预处理的类-This is the introduction to the inside on the weka classification class clustering and data preprocessing
lasso
- 使用lasso方法，对特征矩阵进行优化特征选择（向量选择），使其达到最优。-Use lasso method, optimize the characteristic matrix feature selection (vector selection), to the optimal.
chinese_text_cluster-master
- 基于中文文本的机器学习聚类算法的实现，包括LDA算法等(Chinese Text Clustering)