MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
i have to work to improve the change detection in clustering
i have to choose one algorithm and try to improve its accuracy results
is it better to work with k means or clus tree or what ?
i choose k- means randomly but i can not find the code part of change detection
can i add ADWIN code with k means for example ?
i have to work to improve the change detection in clustering i have to choose one algorithm and try to improve its accuracy results is it better to work with k means or clus tree or what ? i choose k- means randomly but i can not find the code part of change detection can i add ADWIN code with k means for example ?
please help ):