Aug 23, 2024 · In this paper, we challenge to recommend the best pairs of similarity measures to end-users, regardless of their experience, when applying a specific ...
Jul 11, 2024 · Our results show that the recommendations can positively help users select the most appropriate pairs of similarity measures depending on their ...
Jul 11, 2024 · Our results show that the recommendations can positively help users select the most appropriate pairs of similarity measures depending on their ...
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Oct 11, 2024 · To provide a meaningful data summary for downstream scientific analyses, the graph similarity measures used for these tasks must be principled, ...
The similarity between the data within each cluster is maximum and the similarity between the data of different clusters is minimum [2,28]. The datasets that ...
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The proposed mixed similarity measure (MSM) method uses a specific similarity measure for each type of data attribute and merges between the advantages of ...
Missing: Recommendation | Show results with:Recommendation
Jul 11, 2024 · Our results show that the recommendations can positively help users select the most appropriate pairs of similarity measures depending on their ...
Apr 14, 2023 · One approach is to transform your mixed data type vectors into a homogeneous feature space, where all features are of the same data type.
The similarity of the similarity measures in the context of ...
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This research aims to assess the similarity between determining the value of the similarity of objects by using various measures.
Apr 19, 2021 · This article seeks to provide a review of methods and a practical application for clustering a dataset with mixed datatypes.