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

SAP Term: clustering model

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: A predictive model that applies cluster analysis to a dataset to extract information and divide the observations into clusters.

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• Key Concepts: 
  A clustering model is a type of predictive analytics used in SAP Predictive Analytics. It is used to identify patterns and group similar data points together. Clustering models are unsupervised learning algorithms, meaning that they do not require labeled data to be trained. 
  
  How to use it: 
  Clustering models can be used to identify customer segments, detect anomalies, and find relationships between variables. To use a clustering model, you must first define the parameters of the model, such as the number of clusters and the distance metric. Then, you must select the data points that will be used for training. Finally, you must train the model using the selected data points. 
  
  Tips & Tricks: 
  When using a clustering model, it is important to select an appropriate distance metric for your data. Different metrics may yield different results, so it is important to experiment with different metrics to find the best one for your data. Additionally, it is important to select an appropriate number of clusters for your data. Too few clusters may not capture all of the patterns in your data, while too many clusters may lead to overfitting. 
  
  Related Information: 
  Clustering models are just one type of predictive analytics available in SAP Predictive Analytics. Other types of predictive analytics include classification models, regression models, and time series models. Additionally, SAP Predictive Analytics also offers a variety of tools for data preprocessing and visualization.