What is neighbor in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: neighbor

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Node that is connected to a given node. Example: If node A is connected to 5 other nodes, node A has 5 neighbors.

Smart SAP Assistant

• Key Concepts: 
  Neighbor is a term used in SAP Predictive Analytics to refer to a data point that is similar to another data point. It is used to identify patterns in data and make predictions about future trends. The algorithm used to identify neighbors is based on the Euclidean distance between two points. 
  
  How to use it: 
  In SAP Predictive Analytics, the neighbor algorithm can be used to identify patterns in data and make predictions about future trends. To use the neighbor algorithm, you must first define the parameters of the algorithm, such as the number of neighbors to consider and the distance metric to use. Once these parameters are set, the algorithm will search for similar data points and make predictions based on those points. 
  
  Tips & Tricks: 
  When using the neighbor algorithm, it is important to consider the number of neighbors to consider and the distance metric used. If too few neighbors are considered, the algorithm may not be able to accurately identify patterns in the data. If too many neighbors are considered, the algorithm may be too slow or inaccurate. Additionally, it is important to choose an appropriate distance metric for your data set. 
  
  Related Information: 
  The neighbor algorithm is a type of unsupervised machine learning algorithm that can be used for predictive analytics. Other types of unsupervised machine learning algorithms include clustering algorithms and association rule mining algorithms. Additionally, there are supervised machine learning algorithms such as decision trees and support vector machines that can also be used for predictive analytics.