A Bibliographic View on Constrained Clustering
- URL: http://arxiv.org/abs/2209.11125v1
- Date: Thu, 22 Sep 2022 16:11:47 GMT
- Title: A Bibliographic View on Constrained Clustering
- Authors: Ludmila Kuncheva, Francis Williams, Samuel Hennessey
- Abstract summary: This paper presents general trends of the constrained clustering area and its sub-topics.
We list available software and analyse the experimental sections of our reference collection.
Among the topics we reviewed, applications studies were most abundant recently.
- Score: 4.705291741591329
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A keyword search on constrained clustering on Web-of-Science returned just
under 3,000 documents. We ran automatic analyses of those, and compiled our own
bibliography of 183 papers which we analysed in more detail based on their
topic and experimental study, if any. This paper presents general trends of the
area and its sub-topics by Pareto analysis, using citation count and year of
publication. We list available software and analyse the experimental sections
of our reference collection. We found a notable lack of large comparison
experiments. Among the topics we reviewed, applications studies were most
abundant recently, alongside deep learning, active learning and ensemble
learning.
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