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Scalable clustering by aggregating representatives in hierarchical groups.

, , , , and . Pattern Recognit., (April 2023)

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New approaches to observer design and stability analysis for T-S fuzzy system with multiplicative noise., , , and . J. Frankl. Inst., 354 (2): 887-901 (2017)Functional observer-controller method for unmeasured premise variables Takagi-Sugeno systems with external disturbance., , , and . Int. J. Syst. Sci., 51 (16): 3436-3450 (2020)Near-optimal Top-k Pattern Mining., , , , , and . CoRR, (2022)Novel Separation Principle Based H∞ Observer-Controller Design for a Class of T-S Fuzzy Systems., , , and . IEEE Trans. Fuzzy Syst., 26 (6): 3206-3221 (2018)Hierarchical Clustering Supported by Reciprocal Nearest Neighbors., , , , and . CoRR, (2019)Dimensional-varying integral sliding mode controller design for uncertain Takagi-Sugeno fuzzy systems., , , and . Inf. Sci., (2021)Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees., , and . CoRR, (2021)Heterogeneous information network model for equipment-standard system., , , , , and . CoRR, (2017)H∞ reduced-order observer-based controller synthesis approach for T-S fuzzy systems., , , and . J. Frankl. Inst., 356 (12): 6388-6400 (2019)A cost-effective approach for mining near-optimal top-k patterns., , , , , and . Expert Syst. Appl., (2022)