Algorithms for clustering data
Algorithms for clustering data
Knowledge in context: a strategy for expert system maintenance
AI '88 Proceedings of the second Australian joint conference on Artificial intelligence
Machine Learning
A clustering algorithm using an evolutionary programming-based approach
Pattern Recognition Letters
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Data mining: concepts and techniques
Data mining: concepts and techniques
Clustering by Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Self-Organizing Maps
Machine Learning
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Classification by Voting Feature Intervals
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Facing classification problems with Particle Swarm Optimization
Applied Soft Computing
Journal of Global Optimization
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Differential evolution and particle swarm optimisation in partitional clustering
Computational Statistics & Data Analysis
An ACO-based clustering algorithm
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Generalized clustering networks and Kohonen's self-organizing scheme
IEEE Transactions on Neural Networks
Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
Application of gravitational search algorithm on data clustering
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
DisABC: A new artificial bee colony algorithm for binary optimization
Applied Soft Computing
A prototype classifier based on gravitational search algorithm
Applied Soft Computing
A novel DE-ABC-Based hybrid algorithm for global optimization
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Artificial bee colony programming for symbolic regression
Information Sciences: an International Journal
In search of optimal centroids on data clustering using a binary search algorithm
Pattern Recognition Letters
An improved artificial bee colony algorithm based on gaussian mutation and chaos disturbance
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A multi-threshold segmentation approach based on Artificial Bee Colony optimization
Applied Intelligence
Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach
Information Sciences: an International Journal
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
International Journal of Applied Metaheuristic Computing
An artificial bee colony algorithm for the maximally diverse grouping problem
Information Sciences: an International Journal
An efficient and robust artificial bee colony algorithm for numerical optimization
Computers and Operations Research
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing
Applied Soft Computing
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Applied Soft Computing
Artificial bee colony algorithm: a survey
International Journal of Advanced Intelligence Paradigms
International Journal of Computational Intelligence Studies
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
Functional link neural network: artificial bee colony for time series temperature prediction
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
Performance analysis of the coarse-grained parallel model of the artificial bee colony algorithm
Information Sciences: an International Journal
An approach for analyzing the reliability of industrial systems using soft-computing based technique
Expert Systems with Applications: An International Journal
ABK-means: an algorithm for data clustering using ABC and K-means algorithm
International Journal of Computational Science and Engineering
Computers & Mathematics with Applications
A hybrid metaheuristic for the cyclic antibandwidth problem
Knowledge-Based Systems
Mathematics and Computers in Simulation
A fuzzy k-coverage approach for RFID network planning using plant growth simulation algorithm
Journal of Network and Computer Applications
Hi-index | 0.00 |
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algorithms, simulates the intelligent foraging behavior of a honey bee swarm. Clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this work, ABC is used for data clustering on benchmark problems and the performance of ABC algorithm is compared with Particle Swarm Optimization (PSO) algorithm and other nine classification techniques from the literature. Thirteen of typical test data sets from the UCI Machine Learning Repository are used to demonstrate the results of the techniques. The simulation results indicate that ABC algorithm can efficiently be used for multivariate data clustering.