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Relevant bibliographies by topics / Clust-Density

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Academic literature on the topic 'Clust-Density'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Clust-Density"

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Saadi, Chaimae, Habiba Chaoui, and Hassan Erguig. "Contribution to Abnormality Detection by Use of Clust-Density Algorithm." International Review on Computers and Software (IRECOS) 10, no. 4 (2015): 431. http://dx.doi.org/10.15866/irecos.v10i4.5699.

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CHAIMAE, SAADI, and CHAOUI HABIBA. "Security by IDS-AM-Clust, honeyd and honeycomb." International Journal of Engineering Works (ISSN:2409-2770) 2, no. 9 (2015): 84–92. https://doi.org/10.5281/zenodo.31996.

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Various tools and methods are developed to secure our information systems against hackers.This work proposes a new security architecture of IS, using a combination of Honeyd and their plugin honeycomb with intrusion detection system based on mobile agent and data mining algorithm Clust-density. theprinciplal goal is to detect intrusions flowing through the network. also, we show that by using this architecture, we obtained a higher level of security and we can study the behavior of the pirates and their techniques to evaluate the system in which it is implemented by simulating a vulnerable mac

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Du, Tao, Shouning Qu, and Qin Wang. "A Data-Driven Parameter Adaptive Clustering Algorithm Based on Density Peak." Complexity 2018 (October 21, 2018): 1–14. http://dx.doi.org/10.1155/2018/5232543.

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Clustering is an important unsupervised machine learning method which can efficiently partition points without training data set. However, most of the existing clustering algorithms need to set parameters artificially, and the results of clustering are much influenced by these parameters, so optimizing clustering parameters is a key factor of improving clustering performance. In this paper, we propose a parameter adaptive clustering algorithm DDPA-DP which is based on density-peak algorithm. In DDPA-DP, all parameters can be adaptively adjusted based on the data-driven thought, and then the ac

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Suma, K. V., and Bheemsain Rao. "Quantification of Capillary Density and Inter-Capillary Distance in Nailfold Capillary Images Using Scale Space Capillary Detection and Ordinate Clust." International Journal of Biomedical and Clinical Engineering 6, no. 1 (2017): 32–49. http://dx.doi.org/10.4018/ijbce.2017010103.

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The visual analysis of Nailfold Capillary images manually requires trained medical staff and also, the intra-observer variations can be very high. A computer assisted capillary analysis reduces this burden to a great extent. The authors propose an automated system using advanced techniques such as Scale Space construction using Anisotropic Diffusion and Ordinate clustering algorithm. The classification of capillaries is evaluated on the basis of Sensitivity, Specificity and Classification Accuracy. The effectiveness of anisotrpic filtering and Ordinate clustering in eliminating erroneous detec

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Chung, Dongwoo T., Patrick C. Breysse, Kieran A. Cleary, et al. "COMAP Early Science. V. Constraints and Forecasts at z ∼ 3." Astrophysical Journal 933, no. 2 (2022): 186. http://dx.doi.org/10.3847/1538-4357/ac63c7.

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Abstract We present the current state of models for the z ∼ 3 carbon monoxide (CO) line intensity signal targeted by the CO Mapping Array Project (COMAP) Pathfinder in the context of its early science results. Our fiducial model, relating dark matter halo properties to CO luminosities, informs parameter priors with empirical models of the galaxy–halo connection and previous CO (1–0) observations. The Pathfinder early science data spanning wavenumbers k = 0.051–0.62 Mpc−1 represent the first direct 3D constraint on the clustering component of the CO (1–0) power spectrum. Our 95% upper limit on

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Zhao, Xunying, Lin He, Xueyao Wu, et al. "Disentangling the divergent causal pathways underlying the association between body mass index and bone mineral density: a comprehensive Mendelian randomization study." BMC Medicine 23, no. 1 (2025). https://doi.org/10.1186/s12916-025-04139-2.

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Abstract Background While the protective role of body mass index (BMI) in bone mass has been well-documented, the divergent associations between BMI and estimated bone mineral density (eBMD), attributed to its highly heterogeneous nature, remain insufficiently understood. Methods Leveraging the hitherto largest genome-wide summary statistics, we conducted a two-sample Mendelian randomization (MR) to re-evaluate the effect of genetically predicted BMI on eBMD. Then, MR-Clust was applied to examine the potential presence of distinct causal pathways underlying the BMI-eBMD link. Utilizing tissue-

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Rappaz, Y., J. Schober, A. B. Bendre, A. Seta, and C. Federrath. "Cosmic evolution of the Faraday rotation measure in the intracluster medium of galaxy clusters." Astronomy & Astrophysics, September 30, 2024. http://dx.doi.org/10.1051/0004-6361/202451119.

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Radio observations have revealed magnetic fields in the intracluster medium (ICM) of galaxy clusters, and their energy density is nearly in equipartition with the turbulent kinetic energy. This suggests magnetic field amplification by dynamo processes during cluster formation. However, observations are limited to redshifts $z 0.7$, and the weakly collisional nature of the ICM complicates studying magnetic field evolution at higher redshifts through theoretical models and simulations. Using a model of the weakly collisional dynamo, we modelled the evolution of the Faraday rotation measure (RM)

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Huu Tho, Nguyen, and Trang Thanh Tu. "The Geometries, Stabilities and Electronic Property of Cationic Vanadium Doped Germanium Cluster GenV+ (n=9-13) from Density Functional Theory." VNU Journal of Science: Natural Sciences and Technology 35, no. 4 (2019). http://dx.doi.org/10.25073/2588-1140/vnunst.4946.

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Geometries associated relative stabilities, averaged binding energy, fragmentation energy, second-order energy difference and energy gaps of V-doped germanium cationic clusters GenV+ (n = 9-13) have been investigated by using density functional theory with the BP86 exchange-correlation potential and effective core potential (ECP) LanL2DZ basis sets. Natural population analysis charge is also examined to understand the associated charge transfer in structures of clusters. When an electron is removed from neutral cluster GenV to form the cation cluster GenV+, geometric structure of the lowest en

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De, Mitu, Subhasree Dutta, Susanta Ray, and Santi Ranjan Dey. "Visual Clustering Analysis of some traditional Mango (Mangifera indica L.) varieties of Murshidabad District, West Bengal using Clust Vis web tool." International Journal of Advancement in Life Sciences Research 4, no. 3 (2021). http://dx.doi.org/10.31632/ijalsr.2021.v04i03.005.

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A clustergram or a heatmap is one of several techniques that directly visualize data without the need for dimensionality reduction. Heatmap is a representation of data in the form of a map or diagram in which data values are represented as colours. Cluster heatmaps have high data density, allowing them to compact large amounts of information into a small space. “ClustVis”, is a web tool for visualizing clustering of multivariate data using Principal Component Analysis and Heatmap. Using this web tool, genetic relationships among the traditional mango (Mangifera indica L.) varieties can be visu

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Conference papers on the topic "Clust-Density"

1

Saadi, Chaimae, Ensak-Morroco, Habiba Chaoui, and Ensak-Morroco. "Intrusion detection system based interaction on mobile agents and clust-density algorithm “IDS-AM-Clust”." In 2016 4th IEEE International Colloquium on Information Science and Technology (CIST). IEEE, 2016. http://dx.doi.org/10.1109/cist.2016.7804973.

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