Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Some studies in machine learning using the game of checkers
Computers & thought
The behavior of adaptive systems which employ genetic and correlation algorithms
The behavior of adaptive systems which employ genetic and correlation algorithms
Dynamic information and library processing
Dynamic information and library processing
ACM Computing Surveys (CSUR)
Information Mining: Applications in Image Processing
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
Genetic algorithms in relevance feedback: a second test and new contributions
Information Processing and Management: an International Journal
An overview of clustering methods
Intelligent Data Analysis
Improving density-based methods for hierarchical clustering of web pages
Data & Knowledge Engineering
Data Clustering with Semi-binary Nonnegative Matrix Factorization
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Harmony K-means algorithm for document clustering
Data Mining and Knowledge Discovery
Retrieval parameter optimization using genetic algorithms
Information Processing and Management: an International Journal
Journal of Global Optimization
Differential evolution and particle swarm optimisation in partitional clustering
Computational Statistics & Data Analysis
A network flow model for biclustering via optimal re-ordering of data matrices
Journal of Global Optimization
Genetic algorithms in partitional clustering: a comparison
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
A cooperative coevolutionary approach to partitional clustering
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Clustering aggregation for improving ant based clustering
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
PROBABILISTIC HEURISTICS FOR HIERARCHICAL WEB DATA CLUSTERING
Computational Intelligence
Nature-Inspired Clustering Algorithms for Web Intelligence Data
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Study of Sensitive Parameters of PSO Application to Clustering of Texts
International Journal of Applied Evolutionary Computation
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Given a set of objects each of which is represented by a finite number of attributes or features and a clustering criterion that associates a value of utility to any classification, the objective of a clustering method is to identify that classification of the objects which optimizes the criterion. A new strategy to solve this problem is developed. The approach is, in essence, a modification of the reproductive plan, a type of adaptive procedure devised by Holland [2], which embodies many principles found in the adaptation of natural systems through evolution. The proposed approach differs from conventional methods in the sense that the search through the space of possible solutions proceeds in a parallel fashion.The adaptive clustering strategy requires the specification of methods for the generation of an initial population of classifications, the parent selection, the modifications and the replacement of current classifications with new ones. The effects of changing several of these features are investigated. Experimental results show that it is possible to devise clustering strategies based on the principles of adaptation in natural systems that are both effective and efficient.