课程大纲
介绍
聚类分析
- 什么是聚类分析?
- 群集类型的类型
聚类分析继续
- 聚类分析与对象分割
- 分层聚类与非分层聚类
准备开发环境
- 安装和配置 SAS
- 安装和配置 R
使用 SAS 进行聚类分析
- 导入数据
- 标准化数据
- 实现分层聚类
- 解释输出
- 使用 K 意味着对非分层进行聚类
- 解释输出
使用 R 进行聚类分析
- 使用分层聚类函数
- 使用非分层聚类函数
总结和结论
要求
- 具有 R 编程经验
- SAS 经验
观众
- 数据分析师
客户评论 (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
课程 - Introduction to Data Visualization with Tidyverse and R
内容,因为我觉得它非常有趣,并认为它会对我在大学的最后一年有所帮助。
Krishan - NBrown Group
课程 - From Data to Decision with Big Data and Predictive Analytics
机器翻译
very tailored to needs
Yashan Wang
课程 - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
课程 - Data Mining & Machine Learning with R
Good real world examples, reviews of existing reports
Ronald Parrish
课程 - Data Visualization
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
课程 - Data Science for Big Data Analytics
I learned a lot - not only in theoretical knowledge but I also applied that knowledge during the training and therefore I really understood what process mining is and how it works. Thanks a lot!
Julia Dörre - Techniker Krankenkasse
课程 - Process Mining
how the trainor shows his knowledge in the subject he's teachign