Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Kernel k-means: spectral clustering and normalized cuts
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Clustering Large and High-Dimensional Data
Introduction to Clustering Large and High-Dimensional Data
Some refinements of rough k-means clustering
Pattern Recognition
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
The Journal of Machine Learning Research
Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques
Journal of Classification
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Extended fuzzy C-means clustering algorithm for hotspot events in spatial analysis
International Journal of Hybrid Intelligent Systems
Modified global k-means algorithm for minimum sum-of-squares clustering problems
Pattern Recognition
Pattern Recognition, Fourth Edition
Pattern Recognition, Fourth Edition
An initialization method for the K-Means algorithm using neighborhood model
Computers & Mathematics with Applications
A review of recent advances in global optimization
Journal of Global Optimization
A toolbox for K-centroids cluster analysis
Computational Statistics & Data Analysis
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Pattern recognition to forecast seismic time series
Expert Systems with Applications: An International Journal
The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS
Expert Systems with Applications: An International Journal
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Fuzzy clustering with volume prototypes and adaptive cluster merging
IEEE Transactions on Fuzzy Systems
Generalizing the k-Windows clustering algorithm in metric spaces
Mathematical and Computer Modelling: An International Journal
More than words: Social networks' text mining for consumer brand sentiments
Expert Systems with Applications: An International Journal
A fast partitioning algorithm and its application to earthquake investigation
Computers & Geosciences
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
Journal of Global Optimization
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In this paper, the well-known k-means algorithm for searching for a locally optimal partition of the set A@?R^n is analyzed in the case if some data points occur on the border of two or more clusters. For this special case, a useful strategy by implementation of the k-means algorithm is proposed.