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Title:
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A NO-CODE WEB APP FOR SUPPORTING DECISION MODELLING OF CLUSTERING PROBLEMS |
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Author(s):
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Helder Gomes Costa and Leonardo Fernandes Costa |
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ISBN:
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978-989-8704-53-5 |
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Editors:
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Paula Miranda and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Clustering, No-Code, Decision Making, Python, K-Means |
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Type:
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Short |
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First Page:
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222 |
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Last Page:
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226 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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There are various attempts to encourage coding in the field of machine learning, which significantly boost expertise in this area. On the other hand, there is an opportunity to create apps to enhance learning and decision-making for professionals who do not have programming experience. In this paper, we describe a no-code clustering web tool that seeks to address this void. It now implements k-means unsupervised clustering. Our app was created to be a user-friendly interface for supporting decision-makers do deal with cluster modeling, even those without programming skills. |
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