課程簡介
介紹
聚類分析
- 什麼是聚類分析?
- 群集類型的類型
聚類分析繼續
- 聚類分析與物件分割
- 分層聚類與非分層聚類
準備開發環境
- 安裝與設定SAS
- 安裝和配置 R
使用 SAS 進行聚類分析
- 匯入數據
- 標準化數據
- 實現分層聚類
- 解釋輸出
- 使用 K 意味著對非分層進行聚類
- 解釋輸出
使用 R 進行聚類分析
- 使用分層聚類函數
- 使用非分層聚類函數
總結和結論
最低要求
- 具有 R 程式設計經驗
- SAS 經驗
觀眾
- 數據分析師
客戶評論 (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
Course - Introduction to Data Visualization with Tidyverse and R
內容,因為我覺得它非常有趣,並認為它會對我在大學的最後一年有所説明。
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
機器翻譯
very tailored to needs
Yashan Wang
Course - Data Mining with R
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
Good real world examples, reviews of existing reports
Ronald Parrish
Course - Data Visualization
The trainer was so knowledgeable and included areas I was interested in
Mohamed Salama
Course - Data Mining & Machine Learning with R
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
我現在對編碼更有信心了。我以前從未做過,但現在我明白這不是火箭科學,我可以在必要時這樣做。
Anna - Birmingham City University
Course - Foundation R
機器翻譯