Suchergebnisse - Graph-based data clustering

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

“… ; 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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Graph-based data clustering via multiscale community detection von Liu, Zijing, Barahona, Mauricio

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

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

“… Editing a graph into a disjoint union of clusters is a standard optimization task in graph-based data clustering …”
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An academic recommender system on large citation data based on clustering, graph modeling and deep learning von Stergiopoulos, Vaios, Vassilakopoulos, Michael, Tousidou, Eleni, Corral, Antonio

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

“… 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 von Akhter, Mohammad Maksood, Khan, Abdul Atif, Maheshwari, Rashmi, Jothi, R., Mohanty, Sraban Kumar

“… Minimum spanning tree (MST) have been employed in practice for various exploratory data analyses, e.g …”
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An End-to-End Approach for Graph-Based Multi-View Data Clustering von Dornaika, Fadi, El Hajjar, Sally

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

“… 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 von Tian, Yu, Xu, Hong, Zhang, Xing-Yang, Wang, Hong-Jun, Guo, Tong-Cui, Zhang, Liang-Jie, Gong, Xing-Lin

“… 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 von Wang, Hao, Yang, Yan, Liu, Bing

“… Multi-view graph-based clustering aims to provide clustering solutions to multi-view data …”
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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data von Fu, Zeyu, Chen, Chunlin, Wang, Song, Wang, Junping, Chen, Shilei

“… Background Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between …”
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CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis von Li, Yijia, Nguyen, Jonathan, Anastasiu, David C, Arriaga, Edgar A

“… ). 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 von Lee, Chi-Hoon, Zaïane, Osmar R., Park, Ho-Hyun, Huang, Jiayuan, Greiner, Russell

“… 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 von Heghea, Mihail-Cristian, Paval, Silviu-Dumitru, Manta, Vasile-Ion

“… 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 von Li, Lusi, He, Haibo

“… 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 von Luo, Junjie, Molter, Hendrik, Nichterlein, André, Niedermeier, Rolf

“… , the search for compromise clusterings, or also local search in graph-based data clustering …”
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Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering von Zhao, Wenhui, Li, Qin, Xu, Huafu, Gao, Quanxue, Wang, Qianqian, Gao, Xinbo

“… 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 von Novák, Petr, Neumann, Pavel, Macas, Jiří

“… 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 von JIONG GUO, KOMUSIEWICZ, Christian, NIEDEPMEIER, Rolf, UHLMANN, Johannes

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