ClusteringErgebnisses
ClusteringErgebnisse, or clustering results, refer to the outcomes produced by clustering algorithms in data analysis and machine learning. Clustering is an unsupervised learning technique used to group similar data points together based on their features, without predefined labels or categories. The results of clustering are typically represented as clusters, where each cluster consists of data points that share similar characteristics.
The quality and interpretation of clustering results depend on several factors, including the choice of algorithm,
Evaluating clustering results can be challenging due to the absence of ground truth labels. Metrics such as
Clustering results are widely applied across various domains, including customer segmentation in marketing, image segmentation in
In practice, clustering results may need further refinement through techniques like adjusting parameters, removing outliers, or