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An efficientk‐modes algorithm for clustering categorical datasets

https://doi.org/10.1002/sam.11546
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Finding Groups in Data
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LIMBO: Scalable Clustering of Categorical Data
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Comparing partitions
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Squeezer: An efficient algorithm for clustering categorical data
inferredcites →https://doi.org/10.1007/s00357-001-0004-3openalex-snapshot
K-modes Clustering
inferredcites →https://doi.org/10.1007/s00453-004-1127-9openalex-snapshot
How Fast Is the k-Means Method?
inferredcites →https://doi.org/10.1007/s007780050005openalex-snapshot
Clustering categorical data: an approach based on dynamical systems
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Cluster validity functions for categorical data: a solution-space perspective
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Symbolic clustering using a new dissimilarity measure
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A conceptual version of the K-means algorithm
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A classification EM algorithm for clustering and two stochastic versions
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Dissimilarity measures and divisive clustering for symbolic multimodal-valued data
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MMR: An algorithm for clustering categorical data using Rough Set Theory
inferredcites →https://doi.org/10.1016/j.eswa.2011.06.027openalex-snapshot
Attribute value weighting in k-modes clustering
inferredcites →https://doi.org/10.1016/j.eswa.2014.09.012openalex-snapshot
Categorical data clustering: What similarity measure to recommend?
inferredcites →https://doi.org/10.1016/j.inffus.2004.03.001openalex-snapshot
A cluster ensemble method for clustering categorical data
inferredcites →https://doi.org/10.1016/j.inffus.2006.05.006openalex-snapshot
k-ANMI: A mutual information based clustering algorithm for categorical data
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Rough set approach for clustering categorical data using information-theoretic dependency measure
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An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data
inferredcites →https://doi.org/10.1016/j.knosys.2011.07.011openalex-snapshot
A dissimilarity measure for the k-Modes clustering algorithm
inferredcites →https://doi.org/10.1016/j.knosys.2014.04.008openalex-snapshot
Hierarchical clustering algorithm for categorical data using a probabilistic rough set model
inferredcites →https://doi.org/10.1016/j.knosys.2015.01.008openalex-snapshot
Ensemble based rough fuzzy clustering for categorical data
inferredcites →https://doi.org/10.1016/j.neucom.2017.06.011openalex-snapshot
A multi-act sequential game-based multi-objective clustering approach for categorical data
inferredcites →https://doi.org/10.1016/j.patrec.2005.06.002openalex-snapshot
An association-based dissimilarity measure for categorical data
inferredcites →https://doi.org/10.1016/j.patrec.2006.06.006openalex-snapshot
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set
inferredcites →https://doi.org/10.1016/j.procs.2015.04.066openalex-snapshot
The k-modes Algorithm with Entropy Based Similarity Coefficient
inferredcites →https://doi.org/10.1016/s0306-4379(00)00022-3openalex-snapshot
Rock: A robust clustering algorithm for categorical attributes
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Model-Based Clustering and Classification for Data Science
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Multidimensional group analysis
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Latent Structure Analysis of a Set of Multidimensional Contingency Tables
inferredcites →https://doi.org/10.1080/01621459.2011.646935openalex-snapshot
Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
inferredcites →https://doi.org/10.1080/03610926.2013.806665openalex-snapshot
The Clustering of Categorical Data: A Comparison of a Model-based and a Distance-based Approach
inferredcites →https://doi.org/10.1080/10618600.2017.1305278openalex-snapshot
Clustering Categorical Data via Ensembling Dissimilarity Matrices
inferredcites →https://doi.org/10.1093/biomet/61.2.215openalex-snapshot
Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models
inferredcites →https://doi.org/10.1109/21.148412openalex-snapshot
Symbolic clustering using a new similarity measure
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
Least squares quantization in PCM
inferredcites →https://doi.org/10.1109/tkde.2002.1033770openalex-snapshot
CLARANS: a method for clustering objects for spatial data mining
inferredcites →https://doi.org/10.1109/tkde.2007.190649openalex-snapshot
Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data
inferredcites →https://doi.org/10.1109/tkde.2010.268openalex-snapshot
A Link-Based Cluster Ensemble Approach for Categorical Data Clustering
inferredcites →https://doi.org/10.1109/tnnls.2015.2436432openalex-snapshot
A New Distance Metric for Unsupervised Learning of Categorical Data
inferredcites →https://doi.org/10.1109/tpami.1979.4766942openalex-snapshot
DECA: A Discrete-Valued Data Clustering Algorithm
inferredcites →https://doi.org/10.1109/tpami.1984.4767478openalex-snapshot
K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
inferredcites →https://doi.org/10.1109/tpami.2007.53openalex-snapshot
On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1954.tb00159.xopenalex-snapshot
Some Problems in Interval Estimation
inferredcites →https://doi.org/10.1145/1390681.1390696openalex-snapshot
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
inferredcites →https://doi.org/10.1145/2133360.2133361openalex-snapshot
From Context to Distance
inferredcites →https://doi.org/10.1145/312129.312201openalex-snapshot
CACTUS—clustering categorical data using summaries
inferredcites →https://doi.org/10.1145/584792.584888openalex-snapshot
COOLCAT
inferredcites →https://doi.org/10.1155/2017/3691316openalex-snapshot
A Global-Relationship Dissimilarity Measure for thek-Modes Clustering Algorithm
inferredcites →https://doi.org/10.1177/002224378602300307openalex-snapshot
Interpoint Distance Comparisons in Correspondence Analysis
inferredcites →https://doi.org/10.1198/016214505000000312openalex-snapshot
Clustering Categorical Data Based on Distance Vectors
inferredcites →https://doi.org/10.1214/09-ss053openalex-snapshot
Finite mixture models and model-based clustering
inferredcites →https://doi.org/10.1504/ijdmmm.2017.088413openalex-snapshot
GACC: genetic algorithm-based categorical data clustering for large datasets
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.2307/2528080openalex-snapshot
A New Similarity Index Based on Probability
inferredcites →https://doi.org/10.2307/2528823openalex-snapshot
A General Coefficient of Similarity and Some of Its Properties
inferredcites →https://doi.org/10.2307/4615733openalex-snapshot
A Simple Sequentially Rejective Multiple Test Procedure
inferredcites →https://doi.org/10.3233/jifs-16157openalex-snapshot
A weighted k -modes clustering using new weighting method based on within-cluster and between-cluster impurity measures
inferredcites →https://doi.org/10.48550/arxiv.1805.09505openalex-snapshot
Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering

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