An LSH-based k-representatives clustering method for large categorical data

Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering

(2019) Zdeněk Šulc et al.   JOURNAL OF CLASSIFICATION

Genetic intuitionistic weighted fuzzy k-modes algorithm for categorical data

(2018) R.J. Kuo et al.   NEUROCOMPUTING

Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data

(2017) Liyong Zhang et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A New Distance Metric for Unsupervised Learning of Categorical Data

(2016) Hong Jia et al.   IEEE Transactions on Neural Networks and Learning Systems

Categorical data clustering: What similarity measure to recommend?

(2015) Tiago R.L. dos Santos et al.   EXPERT SYSTEMS WITH APPLICATIONS

The k-modes type clustering plus between-cluster information for categorical data

(2014) Liang Bai et al.   NEUROCOMPUTING

An improved k-prototypes clustering algorithm for mixed numeric and categorical data

(2013) Jinchao Ji et al.   NEUROCOMPUTING

Fuzzy c-Means Algorithms for Very Large Data

(2012) T. C. Havens et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

A weighting k-modes algorithm for subspace clustering of categorical data

(2012) Fuyuan Cao et al.   NEUROCOMPUTING

From Context to Distance

(2012) Dino Ienco et al.   ACM Transactions on Knowledge Discovery from Data

A dissimilarity measure for the k-Modes clustering algorithm

(2011) Fuyuan Cao et al.   KNOWLEDGE-BASED SYSTEMS

Product Quantization for Nearest Neighbor Search

(2010) H Jégou et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Cluster-based outlier detection

(2008) Lian Duan et al.   ANNALS OF OPERATIONS RESEARCH