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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
14 時間:
客戶評論 (5)
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
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
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
Very tailored to needs.