clustering was done after vs clustering was done

Examples:

• Clustering was done after data preprocessing.
• The analysis was conducted after clustering was done.
• The results were reviewed after clustering was done.
• The report was generated after clustering was done.
• The visualization was created after clustering was done.

Alternatives:

• Clustering was done following
• Clustering was completed after
• Clustering was performed after
• Clustering was finished after
• Clustering was executed after

Examples:

• Clustering was done using the K-means algorithm.
• The clustering process was done efficiently.
• The data was clustered and analyzed.
• The clustering task was done by the data science team.
• The results were obtained after clustering was done.

Alternatives:

• Clustering was completed.
• Clustering was finished.
• Clustering was performed.
• Clustering was executed.
• Clustering was carried out.