Abstract
Grey clustering is a method developed for classifying observation indices or observation objects into definable classes using grey incidence matrices or grey possibility functions . Each cluster can be seen as a set consisting of all the observational objects of a kind. When investigating practical problems, it is often the case that each observational object possesses quite a few characteristic indices, which are difficult to accurately classify.
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Liu, S., Yang, Y., Forrest, J. (2017). Grey Clustering Evaluation Models. In: Grey Data Analysis . Computational Risk Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-1841-1_6
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DOI: https://doi.org/10.1007/978-981-10-1841-1_6
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