What is 'attribute distance' in SAP CEC-MKT-ML-PRE - Predictive Studio?

attribute distance - Overview

• Component: CEC-MKT-ML-PRE

• Component Name: Predictive Studio

• Description: The number of hierarchy levels between the attribute and a parent attribute on a higher level in the attribute hierarchy.

attribute distance - Details

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  Key Concepts: 
  Attribute distance is a measure of the similarity between two objects in a dataset. It is used in predictive analytics to identify patterns and relationships between different objects. The attribute distance is calculated by taking the difference between the values of two attributes and then normalizing it. 
  
  How to use it: 
  Attribute distance can be used in Predictive Studio to identify patterns and relationships between different objects. It can be used to identify clusters of similar objects, or to identify outliers that are significantly different from the rest of the data. It can also be used to identify correlations between different attributes. 
  
  Tips & Tricks: 
  When using attribute distance, it is important to consider the scale of the attributes being compared. If two attributes have different scales, then the attribute distance will not accurately reflect the similarity between them. It is also important to consider the context of the data when interpreting attribute distances. 
  
  Related Information: 
  Attribute distance is related to other measures of similarity such as Euclidean distance and cosine similarity. It is also related to clustering algorithms such as k-means clustering and hierarchical clustering.