GEOMETRIZATION FOR PATTERN RECOGNITION, DATA ANALYSIS, DATA MERGING, AND MULTIPLE CRITERIA DECISION MAKING
First Claim
1. A data merging method comprising the steps of:
- (a) receiving data;
(b) creating two or more rearrangements of the received data;
(c) applying admissible geometrization to each of the two or more rearrangements of the received data to produce two or more spaces of dilation vectors;
(d) merging the two or more spaces of dilation vectors to form a single space of merged dilation vectors;
(e) merging components of the merged dilation vectors; and
(f) interpreting the merged components of the merged dilation vectors as merged data.
0 Assignments
0 Petitions
Accused Products
Abstract
An analyzer/classifier/synthesizer/prioritizing tool for data comprises use of an admissible geometrization process with data transformed and partitioned by an input process into one or more input matrices and one or more partition classes and one or more scale groups. The data to be analyzed/classified/synthesized/prioritized is processed by an admissible geometrization technique such as 2-partition modified individual differences multidimensional scaling (2p-IDMDS) to produce at least a measure of geometric fit. Using the measure of geometric fit and possibly other 2p-IDMDS output, a back end process analyzes, synthesizes, classifies, and prioritizes data through patterns, structure, and relations within the data.
56 Citations
9 Claims
-
1. A data merging method comprising the steps of:
-
(a) receiving data;
(b) creating two or more rearrangements of the received data;
(c) applying admissible geometrization to each of the two or more rearrangements of the received data to produce two or more spaces of dilation vectors;
(d) merging the two or more spaces of dilation vectors to form a single space of merged dilation vectors;
(e) merging components of the merged dilation vectors; and
(f) interpreting the merged components of the merged dilation vectors as merged data. - View Dependent Claims (2, 3, 4)
-
-
5. A method for converting a mixture of qualitative and quantitative data into quantitative data comprising the steps of:
-
(a) receiving a mixture of qualitative and quantitative data;
(b) applying admissible geometrization to the received mixture of qualitative and quantitative data to produce admissibly transformed data; and
(c) interpreting the admissibly transformed data as quantitative data. - View Dependent Claims (6, 7, 8)
-
-
9. Computer executable software program code stored on a computer readable medium, the code for scaling input data, the code comprising:
-
first code that receives a mixture of qualitative and quantitative data and forms one or more data structures using the received mixture of qualitative and quantitative data; and
second code that applies admissible geometrization to the one or more data structures to produce admissibly transformed data; and
third code to output the admissibly transformed data to produce scaled data.
-
Specification