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- ArticleOctober 2014
Arbitrary Shape Cluster Summarization with Gaussian Mixture Model
IC3K 2014: Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1Pages 43–52https://doi.org/10.5220/0005071500430052One of the main concerns in the area of arbitrary shape clustering is how to summarize clusters. An accurate representation of clusters with arbitrary shapes is to characterize a cluster with all its members. However, this approach is neither practical ...
- articleJuly 2012
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments
International Journal of Data Warehousing and Mining (IJDWM-IGI), Volume 8, Issue 3Pages 27–44https://doi.org/10.4018/jdwm.2012070102Monitoring and interpretation of changing patterns is a task of paramount importance for data mining applications in dynamic environments. While there is much research in adapting patterns in the presence of drift or shift, there is less research on how ...