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relating the clustering problem with the idea of data compression. Here we present a novel genetic algorithm for finding cluster hierarchies, called. GACH ...
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In this paper, we propose the novel genetic-based hierarchical clustering algorithm GACH (Genetic Algorithm for finding Cluster Hierarchies) that solves those ...
[PDF] A Genetic Algorithm Approach to Cluster Analysis - VTechWorks
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Abstract—A common problem in the social and agricultural sciences is to find clusters in experi- mental data; the standard attack is a deterministic search ...
Abstract: We present a clustering algorithm which is unsupervised, incremental, and hierarchical. The algo- rithm is distance-based and creates centroids.
In the present case, our GA clustering technique attempted to maximize a variance-ratio (VR) based goodness-of-fit criterion defined in terms of external ...
This paper describes a new approach to find the right clustering of a dataset. We have developed a genetic algorithm to perform this task.
In this paper we propose a framework for classification which uses Optimal Clustering Genetic Algorithm (OCGA) to obtain optimal level of cutting the dendrogram ...
Abstract. We apply genetic algorithms to get the optimal, in a least squares sense, hierarchical clustering of a dataset. We base this on the bijection between ...
Missing: Finding Cluster Hierarchies.
The hierarchical genetic algorithm (HGA) is employed for automatically searching the number of clusters as well as properly locating the centers for clusters ...
Abstract: We present a clustering algorithm which is unsupervised, incremental, and hierarchical. The algorithm is distance-based and creates centroids.