Unsupervised classification of documents using a labeled data set of other documents

A system for determining other documents to be associated with a subject document, the system comprising:

• a feature extraction module for producing a numeric vector representation of features of said subject document;
• reference data, said reference data comprising numeric vectors, wherein each of said other documents corresponds to a single one of said numeric vectors, and wherein said reference data is grouped into a plurality of groupings, each grouping corresponding to at least one specific feature of said other documents;
• a matching module for determining a matching grouping from said plurality of groupings for said subject document, said matching grouping being determined based on at least one predetermined criterion,
• wherein said system associates said subject document with said matching grouping.

Non-transitory computer-readable media having stored thereon computer-readable and computer-executable instructions that, when executed, implements a method for determining other documents to be associated with a subject document, the method comprising:

• (a) passing said subject document through a feature extraction module to thereby produce a numeric vector representation of features of said subject document, said vector representation having n dimensions;
• (b) positioning a new point in an n-dimensional space based on said vector representation, wherein said n-dimensional space contains a plurality of reference points, wherein each of said other documents corresponds to a single one of said plurality of reference points, and wherein said plurality of reference points is divided into a plurality of groupings, each grouping corresponding to at least one specific feature of said other documents;
• (c) determining a matching grouping from said plurality of groupings for said subject document based on at least one predetermined criterion;
• and
• (d) associating said subject document with said matching grouping.