Search Results - Graph-based data clustering

A More Relaxed Model for Graph-Based Data Clustering: s -Plex Cluster Editing by 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…”
Get full text

Graph-based data clustering via multiscale community detection by 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…”
Get full text

Graph-based data clustering with overlaps by 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…”
Get full text

On 2-Clubs in Graph-Based Data Clustering: Theory and Algorithm Engineering by 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…”
Get full text

An academic recommender system on large citation data based on clustering, graph modeling and deep learning by 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…”
Get full text

Robust landmark graph-based clustering for high-dimensional data by 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…”
Get full text

A fast sparse graph based clustering technique using dispersion of data points by 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…”
Get full text

An End-to-End Approach for Graph-Based Multi-View Data Clustering by 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…”
Get full text

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering by 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…”
Get full text

Multi-resolution graph-based clustering analysis for lithofacies identification from well log data: Case study of intraplatform bank gas fields, Amu Darya Basin by 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…”
Get full text

GMC: Graph-Based Multi-View Clustering by Wang, Hao, Yang, Yan, Liu, Bing

“…Multi-view graph-based clustering aims to provide clustering solutions to multi-view data…”
Get full text

GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data by 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…”
Get full text

CosTaL: an accurate and scalable graph-based clustering algorithm for high-dimensional single-cell data analysis by 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…”
Get full text

Clustering high dimensional data: A graph-based relaxed optimization approach by 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…”
Get full text

Numerical Simulation of Reaction-Diffusion Model for Graph-Based Data Clustering by 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…”
Get full text

Bipartite Graph Based Multi-View Clustering by 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…”
Get full text

Parameterized Dynamic Cluster Editing by Luo, Junjie, Molter, Hendrik, Nichterlein, André, Niedermeier, Rolf

“…, the search for compromise clusterings, or also local search in graph-based data clustering…”
Get full text

Anchor Graph-Based Feature Selection for One-Step Multi-View Clustering by 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…”
Get full text

Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data by 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…”
Get full text

A MORE RELAXED MODEL FOR GRAPH-BASED DATA CLUSTERING: s-PLEX CLUSTER EDITING by JIONG GUO, KOMUSIEWICZ, Christian, NIEDEPMEIER, Rolf, UHLMANN, Johannes

Get full text