Robust deep k-means: An effective and simple method for data clustering

Auto-weighted multi-view clustering via deep matrix decomposition

(2019) Shudong Huang et al.   PATTERN RECOGNITION

Structured AutoEncoders for Subspace Clustering

(2018) Xi Peng et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

An improved overlapping k-means clustering method for medical applications

(2017) Sina Khanmohammadi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Deep Matrix Factorization Method for Learning Attribute Representations

(2017) George Trigeorgis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An information-theoretic approach to hierarchical clustering of uncertain data

(2017) Francesco Gullo et al.   INFORMATION SCIENCES

An efficient k -means clustering filtering algorithm using density based initial cluster centers

(2017) K. Mahesh Kumar et al.   INFORMATION SCIENCES

An efficient approximation to the K-means clustering for massive data

(2017) Marco Capó et al.   KNOWLEDGE-BASED SYSTEMS

Weighted-object ensemble clustering: methods and analysis

(2016) Yazhou Ren et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Robust level set image segmentation via a local correntropy-based K-means clustering

(2013) Lingfeng Wang et al.   PATTERN RECOGNITION

Algorithms for Nonnegative Matrix Factorization with the β-Divergence

(2011) Cédric Févotte et al.   NEURAL COMPUTATION

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS

Convex and Semi-Nonnegative Matrix Factorizations

(2008) C.H.Q. Ding et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE