Results 21 to 30 of about 8,265,428 (297)
Density Peak Clustering Algorithm Based on Relative Density [PDF]
Jisuanji gongcheng, 2023 When the density peak clustering algorithm deals with datasets with uneven density，it is easy to divide the low-density clusters into high-density clusters，divide the high-density clusters into multiple sub-clusters，and exists the error propagation ...
WEI Ya, ZHANG Zhengjun, HE Kailin, TANG Li
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On the Natural Density of Sets Related to Generalized Fibonacci Numbers of Order r
Axioms, 2021 For r≥2 and a≥1 integers, let (tn(r,a))n≥1 be the sequence of the (r,a)-generalized Fibonacci numbers which is defined by the recurrence tn(r,a)=tn−1(r,a)+⋯+tn−r(r,a) for n>r, with initial values ti(r,a)=1, for all i∈[1,r−1] and tr(r,a)=a. In this paper,
Pavel Trojovský
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A Surprising Density of Illusionable Natural Speech [PDF]
CoRR, 2019 CogSci ...
Guan, Melody Y., Valiant, Gregory
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Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood
Axioms, 2023 Outlier detection is of great significance in the domain of data mining. Its task is to find those target points that are not identical to most of the object generation mechanisms.
Jiaxuan Zhang, Youlong Yang
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Classification of charge density waves based on their nature [PDF]
Proceedings of the National Academy of Sciences, 2015 Significance Charge density waves (CDWs) are observed in many solids, especially in low-dimensional systems. Their existence was first predicted in the 1930s by Rudolf Peierls, who prophesied that CDWs would exist in an ideal one-dimensional (1D) chain of atoms, lowering the energy of the system and driving a reconstruction of the ...
Zhu, Xuetao +4 more
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Peak Density Clustering Algorithm Combining Natural and Shared Nearest Neighbor
Jisuanji kexue yu tansuo, 2021 The clustering by fast search and find of density peaks (DPC) has the advantages of no iteration and fewer parameters, but it still has some shortcomings: the need to manually select the cutoff distance parameter and the processing effect is not good on ...
BAI Exiang, LUO Ke, LUO Xiao
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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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Detection of density-dependent growth and fecundity of helminths in natural infections [PDF]
, 1993 Density-dependent constraints on parasite growth, survival or reproduction are thought to be important in preventing the unchecked increase in parasite numbers within individual hosts or host populations.
Scott, M.E., Shostak, A.W.
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A generalization of natural density
Malaya Journal of Matematik, 2016 The concept of natural density is generalized. It is proved that the new theory is consistent with the existing theory in the literature. Many new results were obtained. A theorem analogous to the Riemann’s theorem on rearrangement of non-absolutely convergent series is proved in the sense of generalized natural density.
null R. Vembu, null A. Bowrna
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Insects, 2021 Plants would release herbivore-induced plant volatiles (HIPVs) to repel herbivores and attract natural enemies after being damaged by herbivores. In this study, after cotton plants were damaged by different densities of Apolygus lucorum, the behavioral ...
Han Chen +5 more
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