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                                                  • Norm Loss
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                                                • Data Mining in the ML and Statistics Community
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                                                • Gaussian Mixture Expectation Maximization
                                                • Gewichteter Mittelwert
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                                                • Metriken
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                                                • Sample
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                                                                                • INDEX
                                                                                • MOC - Introduction to Statistics and Statistical Programming
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                                                                                • Agglomerative Nesting
                                                                                • Balanced Iterative Reducing and Clustering Using Hierarchies
                                                                                • Clustering Feature
                                                                                • Density-Based Spatial Clustering of Applications with Noise
                                                                                • Divisive Analysis
                                                                                • Hierarchical Clustering
                                                                                • k-medoids Clustering
                                                                                • Outlier Detection with Grouping Based on Assumptions

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                                                                                • 3. Postulate for Pattern Recognition
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                                                                                1. Data Science /
                                                                                2. Machine Learning /
                                                                                3. Clustering /
                                                                                4. Cluster

                                                                                Cluster

                                                                                A collection of Data Objects within a larger set that are similar within the group and dissimilar to objects outside that group.

                                                                                → small intra-class distance and a high inter-class distance

                                                                                The quality of a cluster depends on the Similarity measure usesd to create it. It might for example not be able to find some of the hidden patterns in the data.

                                                                                Clusters can be found by doing Clustering on a Dataset.