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A Cluster Algorithm Identifying the Clustering Structure
2008 International Conference on Computer Science and Software Engineering, 2008Cluster analysis is a primary method for database mining. Most of clustering algorithms require input parameters which are hard to determine but have a significant influence on the clustering result. Furthermore, for many real-datasets there does not exist a global parameter setting for which the result of the clustering algorithm describes the ...
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A Robust Information Clustering Algorithm
Neural Computation, 2005We focus on the scenario of robust information clustering (RIC) based on the minimax optimization of mutual information (MI). The minimization of MI leads to the standard mass-constrained deterministic annealing clustering, which is an empirical risk-minimization algorithm.
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On the Abstraction of a Categorical Clustering Algorithm
2016Despite being one of the most common approach in unsupervised data analysis, a very small literature exists on the formalization of clustering algorithms. This paper proposes a semiring-based methodology, named Feature-Cluster Algebra, which is applied to abstract the representation of a labeled tree structure representing a hierarchical categorical ...
Mina Sheikhalishahi +2 more
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18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
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An efficient k-means clustering algorithm: analysis and implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002N S Netanyahu
exaly
The global k-means clustering algorithm
Pattern Recognition, 2003Aristidis Likas, Nikos Vlassis
exaly
Genetic algorithm-based clustering technique
Pattern Recognition, 2000Sanghamitra Bandyopadhyay +1 more
exaly
Fast density clustering strategies based on the k-means algorithm
Pattern Recognition, 2017Jiye Liang, Liang Bai, Hua-Wei Shen
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Ant clustering algorithm with K-harmonic means clustering
Expert Systems With Applications, 2010Fengqin Yang
exaly
A fuzzy k-modes algorithm for clustering categorical data
IEEE Transactions on Fuzzy Systems, 1999M K Ng
exaly

