1. A method for creating one or more statistical classifiers for recommending one or more applications and one or more computing infrastructures for executing the one or more applications, the method comprising: extracting, by one or more processors, a first set of performance parameters corresponding to the one or more applications and the one or more computing infrastructures from a historical data pertaining to the execution of the one or more applications on the one or more computing infrastructures; selecting, by the one or more processors, a set of application-specific parameters corresponding to the one or more applications and a set of infrastructure-specific parameters corresponding to the one or more computing infrastructures, from the first set of performance parameters, based on one or more statistical techniques; determining, by the one or more processors: a similarity between each pair of applications from the one or more applications based on the set of application-specific parameters, a similarity between each pair of computing infrastructures from the one or more computing infrastructures based on the set of infrastructure-specific parameters, and a similarity between each combination of an application from the one or more applications and a computing infrastructure from the one or more computing infrastructures, based on the set of application-specific parameters and the set of infrastructure-specific parameters; and creating, by the one or more processors, the one or more statistical classifiers, based on the determined similarity.