Parametric model-based clustering
Parametric, model-based algorithms learn generative models from the data, with each model corresponding to one particular cluster. Accordingly, the model-based partitional algorithm will select the most suitable model for any data object (Clustering step), and will recompute parametric models using data specifically from the corresponding clusters (Maximization step). This Clustering-Maximization framework have been widely used and have shown promising results in many applications including...[Show more]
|Collections||ANU Research Publications|
|Book Title:||Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005|
|01_Nikulin_Parametric_model-based_2005.pdf||46.97 kB||Adobe PDF||Request a copy|
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