Computing Concept Lattices with Clustering Approaches
- 10.2991/iske.2007.137How to use a DOI?
- concept lattice, fuzzy clustering,
In this paper, cluster analysis based on distance function  is investigated, then a clustering algorithm is created for the objects in formal concept context, analysis is a field of applied mathematics based on mathematical analysis of concept and conceptual hierarchy, under this clustering, we only check the groups instead of every subset of feature set, this largely reduces the computing steps in finding the concepts in formal concept context, we pave a way to explore concept lattice with clustering approaches.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lishi Zhang AU - Dehong Wang AU - Xiaodong Liu PY - 2007/10 DA - 2007/10 TI - Computing Concept Lattices with Clustering Approaches BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 800 EP - 806 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.137 DO - 10.2991/iske.2007.137 ID - Zhang2007/10 ER -