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Independent Component Analysis Using the ICA Procedure

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Independent component analysis, or ICA, is a statistical technique for revealing the hidden factors of data. Ning Kang presents two examples to show how to use the ICA procedure to perform independent component analysis. This procedure is available in SAS Visual Statistics 8.3 in SAS Viya.
Ning Kang is a research statistician developer who is part of the Advanced Analytics division at SAS.
Content Outline
00:00 – Welcome
00:12 – ICA: Independent Component Analysis Explained
00:58 – PROC ICA Example 1: Signal Data
01:59 – PROC ICA Example 1: Code
03:00 – PROC ICA Example 1: Results
04:08 – PROC ICA Example 2: Macroeconomic Data
05:34 – PROC ICA Example 2: Code
06:39 – PROC ICA Example 2: Results
08:21 – Takeaways
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SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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Ning Kang is a research statistician developer who is part of the Advanced Analytics division at SAS.
Content Outline
00:00 – Welcome
00:12 – ICA: Independent Component Analysis Explained
00:58 – PROC ICA Example 1: Signal Data
01:59 – PROC ICA Example 1: Code
03:00 – PROC ICA Example 1: Results
04:08 – PROC ICA Example 2: Macroeconomic Data
05:34 – PROC ICA Example 2: Code
06:39 – PROC ICA Example 2: Results
08:21 – Takeaways
Related Resource
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS