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• W2293055739 abstract "The increasing interest in big data applications is ushering in a large effort in seeking new, efficient, and adapted data models to reduce complexity, while preserving maximal intrinsic information. Graph-based models have recently been getting a lot of attention on account of their intuitive and direct connection to the data [43]. The cost of these models, however, is to some extent giving up geometric insight as well as algebraic flexibility." @default.
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• W2293055739 date "2016-03-01" @default.
• W2293055739 modified "2023-10-15" @default.
• W2293055739 title "Discovering the Whole by the Coarse: A topological paradigm for data analysis" @default.
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• W2293055739 doi "https://doi.org/10.1109/msp.2015.2510703" @default.
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