Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Principal Component Analysis (PCA) is applied to a set of astronomic data to obtain a separation beten variations of luminosity and noisy fluctuations. A clustering with the Mixture of Gaussians method, performed in the principal subspace, allows us to classify the data according to the features of interest. Our results are compared with those obtained by the AGAPE (Andromeda Galaxy and Amplified Pixels Experiment) collaboration.
['Maria Funaro', 'Maria Marinaro', 'Alfredo Petrosino', 'Silvia Scarpetta']
I am writing a research paper on a idea Finding Hidden Events in Astrophysical Data using PCA and Mixture of Gaussians Clustering
[{"from": "human", "value": "I am writing a research paper on a idea Finding Hidden Events in Astrophysical Data using PCA and Mixture of Gaussians Clustering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Principal Component Analysis (PCA) is applied to a set of astronomic data to obtain a separation beten variations of luminosity and noisy fluctuations. A clustering with the Mixture of Gaussians method, performed in the principal subspace, allows us to classify the data according to the features of interest. Our results are compared with those obtained by the AGAPE (Andromeda Galaxy and Amplified Pixels Experiment) collaboration."}]