Results 21 to 30 of about 9,654,838 (253)
Optimized Density Peak Clustering Algorithm by Natural Reverse Nearest Neighbor
Jisuanji kexue yu tansuo, 2021 The density peak clustering algorithm is a density based clustering algorithm. The shortcomings of the density peak clustering algorithm are sensitive to parameters and poor clustering results on complex manifold data sets.
LIU Juan, WAN Jing
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An orthogonal forward regression technique for sparse kernel density estimation [PDF]
, 2008 Using the classical Parzen window (PW) estimate as the desired response, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression technique is adopted to construct sparse kernel density (SKD) estimates ...
Chen, Sheng, Hong, X., Harris, Chris J.
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The Local Density Approximation in Density Functional Theory
, 2020 International audienceWe give the first mathematically rigorous justification of the Local Density Approximation in Density Functional Theory. We provide a quantitative estimate on the difference between the grand-canonical Levy-Lieb energy of a given ...
Lewin, Mathieu +3 more
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Generalizing Local Density for Density-Based Clustering
, 2021 Discovering densely-populated regions in a dataset of data points is an essential task for density-based clustering. To do so, it is often necessary to calculate each data point’s local density in the dataset.
Jun-Lin Lin
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Measuring the local dark matter density in the laboratory [PDF]
, 2021 Despite strong evidence for the existence of large amounts of dark matter (DM) in our Universe, there is no direct indication of its presence in our own solar system.
Catena, Riccardo +9 more
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Local Cross-validation for Spectrum Bandwidth Choice [PDF]
, 2000 We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectral density estimates at a single frequency. This procedure is a modification of a cross-validation technique for global bandwidth choices, avoiding the ...
Velasco, Carlos
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IEEE Access, 2019 Categorical data clustering has been attracted a lot of attention recently due to its necessary in the real-world applications. Many clustering methods have been proposed for categorical data.
Thi Phuong Quyen Nguyen, R. J. Kuo
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THE INVESTIGATION OF THE STRUCTURAL CHARACTERISTICS OF THE METAL NANOCLUSTERS IN MELTING/CRYSSTALLIZATION PROCESS USING MANY-BODY GUPTA POTENTIAL [PDF]
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2013 In this work the investigation of the structural characteristics of the gold nanoclusters in the melting/crystallization process has been carried out.
D.N. Sokolov +5 more
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Guidelines on sustainable mobility : shared transport [PDF]
, 2023 This is the fourth published guideline document, in a series of documents which are being published under the Resident First project headed by the Local Councils’ Association (LCA) and endorsed by all Local Councils in Malta and Gozo.
Zammit, Antoine +1 more
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Ecosphere, 2017 Small‐scale soil disturbances such as soil mounds produced by gophers are known to influence local plant communities. A variety of mechanisms might account for the influence of gopher disturbances on individual plant success, but understanding of these ...
Nora Underwood, Brian D. Inouye
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