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Cluster Algorithm in Machine learning

Cluster methods in machine learning combine comparable data points based on specific attributes or qualities. K-means, hierarchical clustering, and DBSCAN are among the most often used methods. These algorithms seek to divide data into separate groups or clusters,...

Anova in SAS

In SAS (Statistical Analysis System), Analysis of Variance (ANOVA) is a statistical tool for examining mean differences across groups. It is useful in determining if there are statistically significant differences between the means of three or more independent...

Proc Tabulate in SAS

The main purpose of Proc Tabulate is to produce a table with a polished appearance. The TABULATE technique uses some or all of the variables in a data collection to present descriptive statistics in tabular style. You may design a range of tables, from the most basic...