Clustering and Classification of Kepler's Confirmed Exoplanets Based on Mixture Models
Exoplanets are planets which orbit a star beyond our solar system. NASA’s space based Kepler telescope has discovered thousands of confirmed exoplanet candidates using planetary transit method. Various types of planets with different physical characteristics are present in this Keplars’ confirmed exoplanet group. We split this confirmed exoplanet group into three different temperature groups viz. hot, warm, and comfort according to effective equilibrium temperature. Using different clustering validity indices we try to find the optimum number of homogeneous groups in the radius-mass, and mass-density spaces of different exoplanet groups individually. We split each planetary group into optimum number of homogeneous subpopulations according to optimum clustering technique. For classification of habitable exoplanets, we try to fit different probability distributions on the homogeneous subpopuations of habitable exoplanets with four physical parameters and the best fitted distribution has been chosen according to information criterion values. We propose a classification rule based on conditional probability of class membership which depends on mixture of different distributions. We try to classify few habitable exoplanets using this rule and compare our results with the true class of these planets.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.