SAS Visual Statistics

Independent Component Analysis Using the ICA Procedure

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.

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Independent Component Analysis Using the ICA Procedure

Independent Component Analysis Using the ICA Procedure

PROC GENSELECT and PROC LOGSELECT: Old Friends, New Clothes!

PROC GENSELECT and PROC LOGSELECT: Old Friends, New Clothes!

Model-Based Clustering with PROC MBC

Model-Based Clustering with PROC MBC

Process Monitoring in SAS Viya with the SPC Procedure

Process Monitoring in SAS Viya with the SPC Procedure

Code Snippets Demo | SAS Visual Statistics

Code Snippets Demo | SAS Visual Statistics

Loading Data Demo | SAS Visual Statistics

Loading Data Demo | SAS Visual Statistics

Transforming Data Demo | SAS Visual Statistics

Transforming Data Demo | SAS Visual Statistics

Exploring Data Demo | SAS Visual Statistics

Exploring Data Demo | SAS Visual Statistics

Selecting Features Demo | SAS Visual Statistics

Selecting Features Demo | SAS Visual Statistics

K-Means Clustering Demo | SAS Visual Statistics

K-Means Clustering Demo | SAS Visual Statistics

Principal Component Analysis Demo | SAS Visual Statistics

Principal Component Analysis Demo | SAS Visual Statistics

Auto-tuning: Decision Tree Demo | SAS Visual Statistics

Auto-tuning: Decision Tree Demo | SAS Visual Statistics

Currently loaded videos are 1 through 12 of 12 total videos.