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September 28, 2025SCIENTIFIC WORKOpen Access

Application Fuzzy Logic for Clustering Big Data Sets

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Authors

BBBakhshali Bakhtiyarov

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Overview

Novel SRSIO-FCM algorithm improves clustering accuracy and speed in big data environments, indicating real-time capabilities.

Key Points

  • SRSIO-FCM outperforms SLFCM by delivering superior clustering accuracy and faster execution times.
  • Evaluation metrics such as F-measure and Adjusted Rand Index confirm the efficiency of SRSIO-FCM for big data clustering.
  • Implementing the SRSIO-FCM algorithm on Apache Spark enhances its performance for real-time analytics in industrial settings.
  • The study highlights the importance of scalable clustering algorithms in managing high-dimensional data generated by SCADA systems.

Cite This Study

Bakhshali Bakhtiyarov (2025) studied this question.

synapsesocial.com/papers/68d90a0f41e1c178a14f6bbbhttps://doi.org/10.36719/2663-4619/121/90-103
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