Abstract
Clustering is a technique in which the data are categorized based on their similarities and differences. In a cluster the distribution of objects around the center point and also their performance and function is different. In this paper, a new approach is presented to make improvement inter-cluster and intra-cluster of objects based on clustering that is not addressed in the literature review. Potential objects are detected and improved in micro and macro levels. The advantage of this approach is its ability to determine the thresholds dynamically according to the objectives and scope of the problem. The ability and usefulness of the proposed approach were examined on a data set of American household energy consumption. The results of applying this algorithmic approach indicate that it can improve the cluster objects with optimal changes and, in general, improve the performance of the entire data set. These results indicate the capability and efficiency of the approach in improvement the function and performance of clusters’ objects.
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Priority objects.
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The authors thank the reviewers for their valuable suggestions for improving the manuscript. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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Nazeriye, M., Haeri, A. Proposing a new clustering approach aimed to energy consumption improvement. J Ambient Intell Human Comput 14, 15831–15849 (2023). https://doi.org/10.1007/s12652-020-02743-z
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DOI: https://doi.org/10.1007/s12652-020-02743-z