Abstract
Authors propose a new approach to the development of clustering algorithms based on parametric optimization models with the combined use of search algorithms with variable randomized neighborhoods and greedy agglomerative heuristic procedures.
Export citation and abstract BibTeX RIS
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.