What is supervised clustering in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: supervised clustering

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: The type of cluster analysis performed by a clustering model in Automated Analytics where a target variable has been selected for analysis.

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• Key Concepts: 
  Supervised clustering is a type of predictive analytics used in SAP Predictive Analytics. It is a method of data analysis that uses a set of predetermined labels to classify data into clusters. The labels are used to guide the clustering process, allowing the algorithm to identify patterns and relationships between the data points. 
  
  How to use it: 
  To use supervised clustering, you must first define the labels that will be used to classify the data. Once the labels are defined, the algorithm will use them to group the data points into clusters. The algorithm will then analyze each cluster and identify patterns and relationships between the data points. Finally, it will generate a report that can be used to make predictions about future data points. 
  
  Tips & Tricks: 
  When using supervised clustering, it is important to choose labels that accurately reflect the data points. This will ensure that the algorithm is able to accurately identify patterns and relationships between the data points. Additionally, it is important to ensure that the labels are not too specific or too general, as this can lead to inaccurate results. 
  
  Related Information: 
  Supervised clustering is just one type of predictive analytics used in SAP Predictive Analytics. Other types of predictive analytics include unsupervised learning, decision trees, and neural networks. Additionally, SAP Predictive Analytics also offers a variety of other features such as automated machine learning and natural language processing.