Two-step classification based on scale space

A new two-step classification scheme based on nonparametric estimation of density function and scale-space filtering is presented. This scheme is able to combine traditional supervised classification techniques with clustering. After nonparametric estimation of the underlying density function, this scheme utilizes scale-space filtering and a novel classification algorithm to extract the intrinsic basic structure of the data. Then, depending on applications, one of the traditional clustering or classification techniques may be employed to obtain a final high level data structure