Explanation of terms of grey clustering evaluation models
Purpose – The purpose of this paper is to present the terms of grey clustering evaluation models. Design/methodology/approach –The definitions of basic terms about grey clustering evaluation models are presented one by one. Findings –The reader could know the basic explanation about the important terms about various grey clustering evaluation models from this paper. Practical implications –Many of our colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors . Originality/value – It’s a fundamental work to standardize all the definitions of terms for a new discipline. It’s also propitious to spread and universal of grey system theory.
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link
Citation : Liu, S. and Yang, Y. (2017) Explanation of terms of grey clustering evaluation models. Grey Systems: Theory and Application, 7(1), pp.129-135.
ISSN : 2043-9377
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes
Showing items related by title, author, creator and subject.
A data stream is a continuously arriving sequence of data and clustering data streams requires additional considerations to traditional clustering. A stream is potentially unbounded, data points arrive on-line and each ...
Nicholls, Jonathan Christopher (Thesis or dissertation / Doctoral / PhD)The use of Insulated Gate Bipolar Transistors (IGBT) have enabled better switching performance than the Metal Oxide Semiconductor Field effect Transistor (MOSFET) in medium to high power applications due to their lower ...