资源列表
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
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.
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
cluster
- 快速搜索与发现密度峰值聚类方法来确定聚类中心(Clustering by fast search and find of density peaks)
SVM-introduction
- SVM浓缩讲稿，精简地介绍了svm的基本概念和理论，有助于新手理解和学习。-SVM speech introduces the basic principles and core concepts SVM to help the novice to learn and understand.
Data-Mining-with-R
- 运用R语言进行数据挖掘算法设计与运算，能够提升R语言学习能力与数据挖掘算法应用能力-R language use data mining algorithm design and operation, it is possible to enhance the R language learning and data mining algorithms application capabilities
hctsa-master
- matlab，时间序列分析，分类，数据挖掘，聚类-time series classification
jieba-0.37
- 这个相当于一个模块工具，很好地进行数据的处理和分析，相当准确。-This is equivalent to a module tool, a good process and analyze the data, quite accurately。
selenium_sina_text
- python 写的爬虫 可以爬取新浪微博wap端的内容，包括用户发表的微博内容，时间，终端，评论数，转发数等指标，直接可用-write python reptile You can crawl content Weibo wap side, including micro-blog content published by users, time, terminal, Comments, forwarding numbers and other indicators, directly
findKN
- 在数据挖掘、人工智能等领域中，都常用到KD树来进行K近邻查找。本程序是自己用C++实现的一个KD树来进行的K近邻查找程序，包含建树和查找。文件中附有测试文件。-In data mining, artificial intelligence and other areas, it is commonly used to KD tree to find K nearest neighbor. This procedure is K neighbor Finder C++ they used to a
CFSFDP-matlab
- 密度峰值聚类算法源码+测试数据(人工+UCI)(Source Code and datasets of CFSFDP Algorithm)
数据挖掘pro
- 本项目的具体问题是关于时间序列数据趋势预测。具体的应用场景是电子商务。现在要求您对118天到146天的每天100个关键产品进行销售量预测。(In this project, you are asked to study the general topic of time-series data mining, and specifically for time-series data trend prediction.)