Special Issue "Clustering Algorithms and Their Applications"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: 15 July 2019
Clustering algorithms (e.g., unsupervised learning) have seen enormous growth in applied fields in recent years. While they were introduced more than 50 years ago, it has been in about the last 10 years that these methods have seen more widespread use among practitioners. This holds true for the ubiquitous K-means clustering algorithm, as well as for more recent approaches such as genetic algorithms, nature-based clustering algorithms, simulated annealing, and the like. The usage of clustering algorithms has permeated into standard software packages; however, this exposure leads to the necessity of “default” versions of these algorithms. Unfortunately, the defaults rarely perform well across all problem sets and often can lead to poor results.
As such, the aim of this Special Issue is to highlight recent applications where clustering algorithms have been either developed or modified to address specific research questions. Developments in both the theoretical and methodological domain as well as novel modifications where so-called “standard” approaches are insufficient are focused on.
Prof. Dr. Doug Steinley
Manuscript Submission Information
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