arXiv Open Access 2022

A Bibliographic View on Constrained Clustering

Ludmila Kuncheva Francis Williams Samuel Hennessey

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Abstrak

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.

Topik & Kata Kunci

cs.LG cs.IR

Penulis (3)

Ludmila Kuncheva

Francis Williams

Samuel Hennessey

Format Sitasi

APA MLA BibTeX

Kuncheva, L., Williams, F., Hennessey, S. (2022). A Bibliographic View on Constrained Clustering. https://arxiv.org/abs/2209.11125

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓