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- W2801765175 abstract "Estimating density is needed in several clustering algorithms and other data analysis methods. Straightforward calculation takes O(N2) because of the calculation of all pairwise distances. This is the main bottleneck for making the algorithms scalable. We propose a faster O(N logN) time algorithm that calculates the density estimates in each dimension separately, and then simply cumulates the individual estimates into the final density values." @default.
- W2801765175 created "2018-05-17" @default.
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- W2801765175 date "2018-01-01" @default.
- W2801765175 modified "2023-09-27" @default.
- W2801765175 title "Dimensionally Distributed Density Estimation" @default.
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- W2801765175 doi "https://doi.org/10.1007/978-3-319-91262-2_31" @default.
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