• Corpus ID: 49868873

Novel Feature-Based Clustering of Micro-Panel Data (CluMP)

@article{Sobek2018NovelFC,
  title={Novel Feature-Based Clustering of Micro-Panel Data (CluMP)},
  author={Luk{\'a}{\vs} Sob{\'i}{\vs}ek and M{\'a}ria Stachov{\'a} and J{\'a}nos Fojtik},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.05926}
}
Micro-panel data are collected and analysed in many research and industry areas. Cluster analysis of micro-panel data is an unsupervised learning exploratory method identifying subgroup clusters in a data set which include homogeneous objects in terms of the development dynamics of monitored variables. The supply of clustering methods tailored to micro-panel data is limited. The present paper focuses on a feature-based clustering method, introducing a novel two-step characteristic-based… 

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