专题:Advanced Clustering Algorithms Research

This cluster of papers encompasses advancements in data clustering techniques and algorithms, covering topics such as K-means, cluster validation, high-dimensional data clustering, density-based clustering, semi-supervised clustering, document clustering, fuzzy clustering, evolutionary algorithms for clustering, and stream data clustering.
最新文献
On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering

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Properties of the Graph Modularity Matrix and Its Applications

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Distance-Based Similarity Measures in T-Spherical Fuzzy Hypersoft Environment for Cluster Analysis

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Consistent Partial Least Squares Structural Equation Modeling Using SmartPLS

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A novel assignment strategy based on fuzzy number cluster centers to assign data points into clusters

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Local hyperplane-constrained self-representation for manifold clustering

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Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering

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Strong consistency of sparse K-means clustering

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Identifying Core Innovation Dimensions via Semantic Clustering with a Novel Pairwise Validation Metric

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Provable Filter for Real-World Graph Clustering

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近5年高被引文献
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

article Full Text OpenAlex 1939 FWCI237.0875

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

article Full Text OpenAlex 859 FWCI110.2102

Statistical power for cluster analysis

article Full Text OpenAlex 519 FWCI62.8923

Comprehensive survey on hierarchical clustering algorithms and the recent developments

article Full Text OpenAlex 313 FWCI35.5354

Model-Based Clustering, Classification, and Density Estimation Using mclust in R

book Full Text OpenAlex 295 FWCI99.409

Robust Multi-View Clustering With Incomplete Information

article Full Text OpenAlex 292 FWCI28.2477

Data clustering: application and trends

article Full Text OpenAlex 268 FWCI31.3711

Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity

article Full Text OpenAlex 238 FWCI39.7436

Finding compact and well-separated clusters: Clustering using silhouette coefficients

article Full Text OpenAlex 197 FWCI23.861

An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis

article Full Text OpenAlex 188 FWCI31.7312