2022/09/22 by Ludmila Kuncheva, Ludmila I. Kuncheva, Francis Williams +6
Computer Science · #62H30 #Advanced Clustering Algorithms Research #FOS: Computer and information sciences #I.5.0 #I.5.3 #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Text and Document Classification Technologies #acm:62H30 #cs.IR #cs.LG #msc:62H30
paper · pdf · doi:10.48550/arxiv.2209.11125
18 pages, 11 figures, 177 references
arxiv created 2022/09/22 · openalex publication_date 2022/09/22 · arxiv updated 2022/09/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.