METHODS FOR MAPPING DATA INTO LOWER DIMENSIONS

摘要

Methods and systems for creating ensembles of hypersurfaces in high-dimensional feature spaces, and to machines and systems relating thereto. More specifically, exemplary aspects of the invention relate to methods and systems for generating supervised hypersurfaces based on user domain expertise, machine learning techniques, or other supervised learning techniques. These supervised hypersurfaces may optionally be combined with unsupervised hypersurfaces derived from unsupervised learning techniques. Lower-dimensional subspaces may be determined by the methods and systems for creating ensembles of hypersurfaces in high-dimensional feature spaces. Data may then be projected onto the lower-dimensional subspaces for use, e.g., in further data discovery, visualization for display, or database access. Also provided are tools, systems, devices, and software implementing the methods, and computers embodying the methods and/or running the software, where the methods, software, and computers utilize various aspects of the present invention relating to analyzing data.

主权项

1. A method for analysis of a high-dimensional feature space comprising:
generating a supervised hypersurface using supervised learning techniques; optionally generating an unsupervised hypersurface using unsupervised learning techniques; combining the supervised hypersurface and optional unsupervised hypersurface to create a lower-dimensional subspace; projecting data from the high-dimensional feature space onto the lower-dimensional subspace; and outputting the projected data into a computer memory.