Algorithms for clustering data
Algorithms for clustering data
A near-optimal initial seed value selection in K-means algorithm using a genetic algorithm
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
An empirical comparison of four initialization methods for the K-Means algorithm
Pattern Recognition Letters
Very fast EM-based mixture model clustering using multiresolution kd-trees
Proceedings of the 1998 conference on Advances in neural information processing systems II
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
Initializing Normal Mixtures of Densities
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric genetic clustering: comparison of validity indices
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An efficient k'-means clustering algorithm
Pattern Recognition Letters
Clustering of document collection - A weighting approach
Expert Systems with Applications: An International Journal
A genetic algorithm with gene rearrangement for K-means clustering
Pattern Recognition
Performance evaluation of density-based clustering methods
Information Sciences: an International Journal
An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis
Applied Soft Computing
A quantum-inspired genetic algorithm for k-means clustering
Expert Systems with Applications: An International Journal
Quantization-based clustering algorithm
Pattern Recognition
Engineering Applications of Artificial Intelligence
A new geometric shape-based genetic clustering algorithm for the multi-depot vehicle routing problem
Expert Systems with Applications: An International Journal
A robust dynamic niching genetic clustering approach for image segmentation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A clustering method combining differential evolution with the K-means algorithm
Pattern Recognition Letters
A genetic clustering algorithm using a message-based similarity measure
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A cluster centers initialization method for clustering categorical data
Expert Systems with Applications: An International Journal
An evolutionary computational model applied to cluster analysis of DNA microarray data
Expert Systems with Applications: An International Journal
Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters
International Journal of Information Retrieval Research
A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms
Engineering Applications of Artificial Intelligence
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We present a genetic algorithm for selecting centers to seed the popular k-means method for clustering. Using a novel crossover operator that exchanges neighboring centers, our GA identifies superior partitions using both benchmark and large simulated data sets.