Self‐adaptive real‐time clustering analysis and damage pattern recognition for steel tube confined reinforced concrete structures through acoustic emission signals

Du, Fangzhu; Li, Xiuling; Li, Dongsheng; Shen, Wei

doi:10.1002/stc.3071

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…Pattern Recognition and Data Compression: Clustering algorithms can be applied in pattern recognition, where we attempt to identify and classify similar patterns or shapes. Additionally, clustering techniques like vector quantization have been used for image data compression, reducing storage and transmission requirements for image data (Du et al, 2022;Sun et al, 2019). The list above is just a few examples of fields that can benefit from clustering.…”

Section: Clustering Benefitsmentioning

confidence: 99%

Analysis of System Requirements and Architecture for Facilitating Table-Based Data Clustering for Non-Technical Users

Yoppy Yunhasnawa,

Toga Aldila Cinderatama,

Candra Bella Vista

2023

JABT

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Clustering is one of the key techniques in unsupervised learning analysis, aimed at grouping similar data objects into clusters based on shared characteristics. The broad benefits of clustering are evident across various sectors, such as business, marketing, finance, and many others. However, the complexity of implementing clustering, especially for those without a background in statistics or programming, poses a barrier. The appropriate selection of clustering methods and accurate interpretation of results require a solid understanding of statistics. This research aims to address this issue by crafting a detailed Software Requirements Specification for a user-friendly clustering application, equipped with an intuitive interface and effective tools, based on comprehensive literature study, which finally allowing non-experts to engage in the clustering process without in-depth knowledge of statistics or programming. As such, this study endeavors to provide a practical solution for utilizing clustering without excessive technical impediments.

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Section: Clustering Benefitsmentioning

confidence: 99%