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This repository contains the code for the thesis titled 'Comparative Analysis of Soft Clustering Methods: Dirichlet Process Mixture Model, Fuzzy C-Means, Possibilistic C-Means, and Spectral Clustering ...
To address this, we propose an Adaptive Incremental K-means (AIK-means) clustering algorithm for sprinkler layout optimization. AIK-means partitions plant objects into clusters, determining a centroid ...
In this paper, to deal with the training samples dynamics and improve the forecasting accuracy, a data mining approach consisting of K-means clustering and bagging neural network (NN) is proposed for ...
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