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Component: LOD-ANA
Component Name: SAP Analytics Cloud
Description: A representation of a collection of points on a map or a chart.
Key Concepts: A cluster in SAP Analytics Cloud (SAC) is a collection of related data points that are grouped together based on their similarity. Clusters are used to identify patterns in data and to make predictions about future trends. Clusters can be used to identify customer segments, product categories, or any other type of grouping that can be identified in the data. How to use it: Clusters can be created in SAC by selecting the “Cluster” option from the “Analyze” menu. Once a cluster is created, it can be used to analyze the data and make predictions about future trends. Clusters can also be used to identify customer segments or product categories. Tips & Tricks: When creating clusters, it is important to consider the size of the data set and the number of clusters that will be created. Too few clusters may not provide enough information, while too many clusters may lead to overfitting of the data. It is also important to consider the type of data that will be used for clustering, as different types of data may require different clustering algorithms. Related Information: Clustering is a type of unsupervised machine learning algorithm that is used to identify patterns in data. Other types of unsupervised machine learning algorithms include k-means clustering, hierarchical clustering, and density-based clustering. Clustering algorithms are often used in conjunction with other machine learning algorithms such as classification and regression.