Basic Principles of Clustering Methods
arXiv:1911.07891v21 citations
Originality Synthesis-oriented
AI Analysis
It provides a basic overview of clustering principles, which is incremental as it summarizes existing methods without novel contributions.
The paper describes clustering methods for grouping data points into coherent clusters based on similarity, using examples like image pixels, but does not present new results or numbers.
Clustering methods group a set of data points into a few coherent groups or clusters of similar data points. As an example, consider clustering pixels in an image (or video) if they belong to the same object. Different clustering methods are obtained by using different notions of similarity and different representations of data points.