The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 01, 2004
Filed:
May. 31, 2001
Lawrence J. Choi, Lawrenceville, NJ (US);
Christopher B. Kuenne, Princeton, NJ (US);
Kurt E. Holstein, II, Princeton, NJ (US);
Henry Andrew Cross, Moorestown, NJ (US);
George Tang, New York, NY (US);
Chetna Bansal, New York, NY (US);
Jason R. Whitney, New York, NY (US);
Joshua D. Babbitt, Jersey City, NJ (US);
Rosetta Marketing Strategies Group, Princeton, NJ (US);
Abstract
A computer-assisted method for placing each of a plurality of observations into one of a predefined set of clusters is disclosed. The disclosed method includes, for each of a plurality of observations, obtaining a data set containing no more than one proxy value for each of a plurality of variables, each variable having a plurality of possible values, and obtaining a set of first dummy variables having a value indicative of an observation's membership or non-membership (i.e., membership status) in a particular cluster. The disclosed method also includes obtaining a set of second dummy variables each having a value indicative of an observation's having a particular response or lack thereof for a given variable, and, for each observation, regressing the set of first dummy variables on the set of second dummy variables to obtain a linear approximation to a plurality of probabilities that an observation with particular provided values to the plurality of possible values belongs to each particular cluster from the predefined set of clusters.