Enhancing in-tree-based clustering via distance ensemble and kernelization

Ensemble clustering based on evidence extracted from the co-association matrix

(2019) Caiming Zhong et al.   PATTERN RECOGNITION

Adaptive weighted nonnegative low-rank representation

(2018) Jie Wen et al.   PATTERN RECOGNITION

Clustering in large data sets with the limited memory bundle method

(2018) Napsu Karmitsa et al.   PATTERN RECOGNITION

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training

(2018)   IEEE Transactions on Neural Networks and Learning Systems

To cluster, or not to cluster: An analysis of clusterability methods

(2018) Andreas Adolfsson et al.   PATTERN RECOGNITION

densityCut: an efficient and versatile topological approach for automatic clustering of biological data

(2016) Jiarui Ding et al.   BIOINFORMATICS

Ensemble clustering using factor graph

(2016) Dong Huang et al.   PATTERN RECOGNITION

Fast clustering using adaptive density peak detection

(2015) Xiao-Feng Wang et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

(2015) Ricardo J. G. B. Campello et al.   ACM Transactions on Knowledge Discovery from Data

fastcluster: Fast Hierarchical, Agglomerative Clustering Routines forRandPython

(2015) Daniel Müllner   Journal of Statistical Software

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

PHA: A fast potential-based hierarchical agglomerative clustering method

(2012) Yonggang Lu et al.   PATTERN RECOGNITION

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS