Výsledky vyhľadávania - Graph-based data clustering

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  1. 1

    A More Relaxed Model for Graph-Based Data Clustering: s -Plex Cluster Editing Autor Guo, Jiong, Komusiewicz, Christian, Niedermeier, Rolf, Uhlmann, Johannes

    ISSN: 0895-4801, 1095-7146
    Vydavateľské údaje: Philadelphia Society for Industrial and Applied Mathematics 01.01.2010
    Vydané v SIAM journal on discrete mathematics (01.01.2010)
    “…; both are NP-hard and both are motivated by graph-based data clustering. Instead of transforming a given graph by a minimum number of edge modifications into a disjoint union of cliques…”
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  2. 2

    Graph-based data clustering via multiscale community detection Autor Liu, Zijing, Barahona, Mauricio

    ISSN: 2364-8228, 2364-8228
    Vydavateľské údaje: Cham Springer International Publishing 08.01.2020
    Vydané v Applied network science (08.01.2020)
    “… We use both synthetic and benchmark real datasets to compare and evaluate several graph construction methods and clustering algorithms, and show that multiscale graph-based clustering achieves…”
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  3. 3

    Graph-based data clustering with overlaps Autor Fellows, Michael R., Guo, Jiong, Komusiewicz, Christian, Niedermeier, Rolf, Uhlmann, Johannes

    ISSN: 1572-5286, 1873-636X
    Vydavateľské údaje: Elsevier B.V 01.02.2011
    Vydané v Discrete optimization (01.02.2011)
    “…We introduce overlap cluster graph modification problems where, other than in most previous works, the clusters of the target graph may overlap. More…”
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  4. 4

    On 2-Clubs in Graph-Based Data Clustering: Theory and Algorithm Engineering Autor Figiel, Aleksander, Himmel, Anne-Sophie, Nichterlein, André, Niedermeier, Rolf

    ISSN: 1526-1719, 1526-1719
    Vydavateľské údaje: 01.01.2021
    “…Editing a graph into a disjoint union of clusters is a standard optimization task in graph-based data clustering…”
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  5. 5

    An academic recommender system on large citation data based on clustering, graph modeling and deep learning Autor Stergiopoulos, Vaios, Vassilakopoulos, Michael, Tousidou, Eleni, Corral, Antonio

    ISSN: 0219-1377, 0219-3116
    Vydavateľské údaje: London Springer London 01.08.2024
    Vydané v Knowledge and information systems (01.08.2024)
    “… In this paper, we present a novel multi-staged RS based on clustering, graph modeling and deep learning that manages to run on a full dataset…”
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  6. 6

    Robust landmark graph-based clustering for high-dimensional data Autor Yang, Ben, Wu, Jinghan, Sun, Aoran, Gao, Naying, Zhang, Xuetao

    ISSN: 0925-2312, 1872-8286
    Vydavateľské údaje: Elsevier B.V 28.07.2022
    Vydané v Neurocomputing (Amsterdam) (28.07.2022)
    “… To address this issue, we propose a novel robust landmark graph-based clustering algorithm for high-dimensional data (RLGCH…”
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    A fast sparse graph based clustering technique using dispersion of data points Autor Akhter, Mohammad Maksood, Khan, Abdul Atif, Maheshwari, Rashmi, Jothi, R., Mohanty, Sraban Kumar

    ISSN: 0925-2312
    Vydavateľské údaje: Elsevier B.V 14.02.2025
    Vydané v Neurocomputing (Amsterdam) (14.02.2025)
    “…Minimum spanning tree (MST) have been employed in practice for various exploratory data analyses, e.g…”
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  8. 8

    An End-to-End Approach for Graph-Based Multi-View Data Clustering Autor Dornaika, Fadi, El Hajjar, Sally

    ISSN: 2332-7790, 2372-2096
    Vydavateľské údaje: Piscataway IEEE 01.10.2024
    Vydané v IEEE transactions on big data (01.10.2024)
    “… While traditional graph-based methods are effective at capturing data structures, they often require separate steps to estimate graphs of views or a consensus graph from the raw data…”
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  9. 9

    GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering Autor Lu, Yifu, Yu, Zhuohan, Wang, Yunhe, Ma, Zhiqiang, Wong, Ka-Chun, Li, Xiangtao

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydavateľské údaje: England Oxford University Press 26.05.2022
    Vydané v Bioinformatics (26.05.2022)
    “… Results In our study, we develop a novel Graph-based Multiple Hierarchical Consensus Clustering (GMHCC…”
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    Multi-resolution graph-based clustering analysis for lithofacies identification from well log data: Case study of intraplatform bank gas fields, Amu Darya Basin Autor Tian, Yu, Xu, Hong, Zhang, Xing-Yang, Wang, Hong-Jun, Guo, Tong-Cui, Zhang, Liang-Jie, Gong, Xing-Lin

    ISSN: 1672-7975, 1993-0658
    Vydavateľské údaje: Beijing Chinese Geophysical Society 01.12.2016
    Vydané v Applied geophysics (01.12.2016)
    “…In this study, we used the multi-resolution graph-based clustering (MRGC) method for determining the electrofacies (EF) and lithofacies (LF…”
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    GMC: Graph-Based Multi-View Clustering Autor Wang, Hao, Yang, Yan, Liu, Bing

    ISSN: 1041-4347, 1558-2191
    Vydavateľské údaje: New York IEEE 01.06.2020
    “…Multi-view graph-based clustering aims to provide clustering solutions to multi-view data…”
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  12. 12

    GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data Autor Fu, Zeyu, Chen, Chunlin, Wang, Song, Wang, Junping, Chen, Shilei

    ISSN: 1471-2164, 1471-2164
    Vydavateľské údaje: London BioMed Central 21.08.2025
    Vydané v BMC genomics (21.08.2025)
    “…Background Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between…”
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  13. 13

    CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis Autor Li, Yijia, Nguyen, Jonathan, Anastasiu, David C, Arriaga, Edgar A

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Vydavateľské údaje: England Oxford University Press 19.05.2023
    Vydané v Briefings in bioinformatics (19.05.2023)
    “…). As a graph-based clustering method, CosTaL transforms the cells with high-dimensional features into a weighted k-nearest-neighbor (kNN) graph…”
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    Clustering high dimensional data: A graph-based relaxed optimization approach Autor Lee, Chi-Hoon, Zaïane, Osmar R., Park, Ho-Hyun, Huang, Jiayuan, Greiner, Russell

    ISSN: 0020-0255, 1872-6291
    Vydavateľské údaje: Elsevier Inc 01.12.2008
    Vydané v Information sciences (01.12.2008)
    “… Graph-based approaches solve the clustering task as a global optimization problem, while many other works are based on local methods…”
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    Numerical Simulation of Reaction-Diffusion Model for Graph-Based Data Clustering Autor Heghea, Mihail-Cristian, Paval, Silviu-Dumitru, Manta, Vasile-Ion

    ISSN: 2473-5698
    Vydavateľské údaje: IEEE 09.10.2025
    “… Cluster membership is read off from the steady-state concentration field. Using the canonical Iris data set, we compare the proposed method against k-means and spectral clustering…”
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    Bipartite Graph Based Multi-View Clustering Autor Li, Lusi, He, Haibo

    ISSN: 1041-4347, 1558-2191
    Vydavateľské údaje: New York IEEE 01.07.2022
    “…For graph-based multi-view clustering, a critical issue is to capture consensus cluster structures via a two-stage learning scheme…”
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    Parameterized Dynamic Cluster Editing Autor Luo, Junjie, Molter, Hendrik, Nichterlein, André, Niedermeier, Rolf

    ISSN: 0178-4617, 1432-0541
    Vydavateľské údaje: New York Springer US 01.01.2021
    Vydané v Algorithmica (01.01.2021)
    “…, the search for compromise clusterings, or also local search in graph-based data clustering…”
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  18. 18

    Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering Autor Zhao, Wenhui, Li, Qin, Xu, Huafu, Gao, Quanxue, Wang, Qianqian, Gao, Xinbo

    ISSN: 1520-9210, 1941-0077
    Vydavateľské údaje: Piscataway IEEE 2024
    “… Among the many multi-view clustering methods, anchor graph-based multi-view clustering has been proven to be highly efficient for large-scale data processing…”
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    Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data Autor Novák, Petr, Neumann, Pavel, Macas, Jiří

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 15.07.2010
    Vydané v BMC bioinformatics (15.07.2010)
    “… the opportunity for efficient repeat investigation in a wide range of species. However, the development of appropriate data mining tools is required in order…”
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    A MORE RELAXED MODEL FOR GRAPH-BASED DATA CLUSTERING: s-PLEX CLUSTER EDITING Autor JIONG GUO, KOMUSIEWICZ, Christian, NIEDEPMEIER, Rolf, UHLMANN, Johannes

    ISSN: 0895-4801
    Vydavateľské údaje: Philadelphia, PA Society for Industrial and Applied Mathematics 2011
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