geclustert
Geclustert is a term derived from the Dutch word "geclustered," which means "clustered" in English. In the context of data analysis and machine learning, geclustert refers to the process of grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. This technique is widely used in various fields such as market research, image analysis, and bioinformatics.
The process of geclustert typically involves several steps. First, a similarity measure is defined to quantify
The number of clusters can be predefined (as in K-means) or determined automatically (as in hierarchical clustering).
Geclustert is a powerful tool for exploratory data analysis, as it can reveal underlying patterns and structures