Geometrization for pattern recognition, data analysis, data merging, and multiple criteria decision making

• US 7,885,966 B2
• Filed: 04/18/2007
• Issued: 02/08/2011
• Est. Priority Date: 07/30/2002
• Status: Active Grant

• Current Assignee: Abel Wolman
• Original Assignee: Abel Wolman
• Inventors: Wolman, Abel
• Primary Examiner(s): MIZRAHI, DIANE D
• Application Number:
  US11/737,063
• Publication Number:
  US 20070198553A1
• Time in Patent Office: 1,392 Days
• Field of Search: 707/756, 707/748, 707/798, 707/968, 382/181, 382/133, 382/159, 382/170, 382/224, 382/280, 382/281, 706/20
• US Class Current: 707/756
• CPC Class Codes: G06F 18/2137 based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
• CPC Class Codes: Y10S 707/968 Partitioning
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

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.

Claims

1. A data merging method comprising the steps of:

(a) using a computer processor, receiving data;

(b) using the computer processor, creating two or more rearrangements of the received data;

(c) using the computer processor, 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.

2. The data merging method of claim 1 wherein in step (a) received data are data selected from the group consisting of qualitative data and quantitative data and intermixed qualitative and quantitative data.

3. The data merging method of claim 1 wherein step (f) comprises interpreting the merged components of the merged dilation vectors as quantitative merged data.

4. The data merging method of claim 1 wherein step (c) comprises applying 2-partition individual differences multidimensional scaling to each of the two or more rearrangements of the received data.

11. Computer executable software program code stored on a computer usable medium which, when executed on a computer processor, performs the method of claim 1.

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) using a computer processor, applying admissible geometrization to the received mixture of qualitative and quantitative data to produce admissibly transformed data, comprising applying 2-partition individual differences multidimensional scaling to the received mixture of qualitative and quantitative data; and

(c) interpreting the admissibly transformed data as quantitative data.

6. The method for converting a mixture of qualitative and quantitative data into quantitative data of claim 5 wherein step (c) comprises replacing the received mixture of qualitative and quantitative data with the admissibly transformed data and outputting the admissibly transformed data.

7. The method for converting a mixture of qualitative and quantitative data into quantitative data of claim 5 wherein in step (a) the mixture of received qualitative and quantitative data are data selected from the group consisting of classified data for a predetermined characteristic among a plurality of input domains and measured data for a predetermined characteristic among a plurality of input domains and survey data for a predetermined characteristic among a plurality of input domains and scoring data for a predetermined characteristic among a plurality of input domains and rating data for a predetermined characteristic among a plurality of input domains and ranking data for a predetermined characteristic among a plurality of input domains and preference data for a predetermined characteristic among a plurality of input domains.

8. Computer executable software program code stored on a computer usable medium, the code for merging data, the code, which when executed by a computer processor, comprising:

first code, when executed by a computer processor, that receives data and forms two or more rearrangements of the received data; and

second code, when executed by a computer processor, that applies 2-partition individual differences multidimensional scaling to the two or more rearrangements of the received data to produce two or more spaces of dilation vectors.

9. The computer executable software program code of claim 8 further including code to merge the two or more spaces of dilation vectors.

10. The computer executable software program code of claim 9 further including code to merge the components of the merged dilation vectors.

12. A computer system for merging data comprising:

(a) a memory which is able to store data,

(b) a processor which is operatively connected to the memory which will;

(1) compute two or more rearrangements of the stored data, and

(2) compute admissible geometrization of the two or more rearrangements of the stored data, and

(3) compute two or more spaces of dilation vectors, and

(4) compute a merged space of the two or more spaces of dilation vectors, and

(5) compute a merged value of the components of the merged dilation vectors,

so that said memory will store the merged values and a display to display the merged values to a user to interpret the stored merged values as merged data.

13. The computer system for merging data of claim 12 wherein the memory stores data selected from the group consisting of qualitative data and quantitative data and intermixed qualitative and quantitative data.

14. The computer system for merging data of claim 12 wherein in step (b2) the processor will compute 2-partition individual differences multidimensional scaling on each of the two or more rearrangements of the stored data.