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Method for stable and linear unsupervised classification upon the command on objects

  • US 8,423,549 B2
  • Filed: 12/14/2006
  • Issued: 04/16/2013
  • Est. Priority Date: 12/16/2005
  • Status: Expired due to Fees
First Claim
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1. A processor-implemented method of linear unsupervised classification allowing a database composed of objects and of descriptors to be structured, which is stable on the order of the objects, comprising:

  • an initial step for transformation of the qualitative, quantitative or textual data into presence-absence binary data, wherein said processor-implemented method further comprises the following steps;

    determining a structural threshold α

    s function of the n2 agreements between the objects to be classified, the structural threshold defining an optimization criterion adapted to the data,using the descriptors as structuring and construction generators of a partition or set of classes, regrouping of the classes of a partition over several hierarchical levels, said regrouping including the following steps;

    decreasing at each level the value of the structural threshold in such a manner that the negative contributions become positive,maximizing links between the classes formed where the links are determined by using the contribution from a pair of objects

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