Introduction to Clustering Algorithms and Applications
It serves as an introductory resource for researchers and practitioners interested in clustering techniques, but it is incremental as it reviews existing methods without novel contributions.
The paper provides an overview of various clustering methods and their applications across different fields, without presenting new results or specific numbers.
Data clustering is the process of identifying natural groupings or clusters within multidimensional data based on some similarity measure. Clustering is a fundamental process in many different disciplines. Hence, researchers from different fields are actively working on the clustering problem. This paper provides an overview of the different representative clustering methods. In addition, application of clustering in different field is briefly introduced.