×

Classifying Samples Using Clustering

  • US 20140201208A1
  • Filed: 01/15/2013
  • Published: 07/17/2014
  • Est. Priority Date: 01/15/2013
  • Status: Abandoned Application
First Claim
Patent Images

1. A computer-implemented method of classifying a sample, comprising:

  • establishing a set of samples containing labeled and unlabeled samples;

    gathering values of features from the labeled and unlabeled samples;

    selecting a subset of the features;

    clustering the labeled and unlabeled samples together based on similarity of the gathered values of the selected subset of features to produce a set of clusters, each cluster having a subset of samples from the set of samples;

    recursively iterating the selecting and clustering steps on the subset of samples in each cluster in the set of clusters until at least one stopping condition is reached, the iterations producing a cluster having a labeled sample and an unlabeled sample; and

    propagating a label from the labeled sample in the cluster to the unlabeled sample in the cluster to classify the unlabeled sample.

View all claims
  • 6 Assignments
Timeline View
Assignment View
    ×
    ×