Speeding up the large-scale consensus fuzzy clustering for handling big data

DOI10.1016/j.fss.2017.11.003zbMath1397.62231OpenAlexW2767493667MaRDI QIDQ1795233

Mohamed Ali Zoghlami, Minyar Sassi Hidri, Rahma Ben Ayed

Publication date: 16 October 2018

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2017.11.003

zbMATH Keywords

samplingfuzzy clusteringbig data analyticsconsensus tendencypartial data clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Comparing clusterings using combination of the kappa statistic and entropy-based measure ⋮ Fuzzy clustering based on linguistic information: a case study on clustering destinations with tourists’ perceptions

Uses Software

• MapReduce
• UCI-ml
• MPI
• Hadoop
• RHadoop
• SC3

Cites Work

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• Numerical taxonomy with fuzzy sets
• Fuzzy clustering models and applications
• Relative entropy collaborative fuzzy clustering method
• Cure: An efficient clustering algorithm for large databases
• FCM-based model selection algorithms for determining the number of clusters
• ECM: An evidential version of the fuzzy \(c\)-means algorithm
• Collaborative fuzzy clustering
• 10.1162/153244303321897735
• Parallelism in random access machines
• Elements of Information Theory
• Fuzzy sets
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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