Apr 25, 2020 · Clustering mixed data is a non-trivial task and typically is not achieved by well-known clustering algorithms designed for a specific type. It ...
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In this paper we propose the algorithm ClicoT (CLustering mixed-type data. Including COncept Trees) which is based on the Minimum Description. Length (MDL) ...
Mar 22, 2019 · In this paper we propose the algorithm ClicoT (CLustering mixed-type data Including COncept Trees) which is based on the Minimum Description ...
Feb 22, 2024 · In this paper we propose the algorithm ClicoT (CLustering mixed-type data Including COncept Trees) which is based on the Minimum Description ...
Clustering of Mixed-Type Data Considering Concept Hierarchies
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Feb 22, 2024 · In this paper we propose the algorithm ClicoT (CLustering mixed-type data Including COncept Trees) which is based on the Minimum Description ...
Leveraging the natural conceptual hierarchy among categorical information, concept trees summarize the categorical attributes. In this paper we propose the ...
Apr 19, 2021 · This article seeks to provide a review of methods and a practical application for clustering a dataset with mixed datatypes.
Nov 28, 2017 · Using hierarchical clustering for mixed data, standard heatmaps as for continuous values can be drawn, with the difference that separate color ...
based methods can be hierarchical ... mixed-type data, the definition of an outlier is further complicated. ... For data X, consider the current set of clustering ...
Oct 15, 2007 · Hsu et al. [10] proposed a mixed data clustering algorithm applying the idea of distance hierarchy to calculate distance for every categorical ...