Systems and methods for labeling large datasets of physiological records based on unsupervised machine learning

A records classification processor for labeling records of electrical activity of a brain, the records classification processor comprising:

• a records section module configured to select a plurality of from records stored in a database such that the records in the plurality of records of electrical activity of the brain have at least one parameter in common, where the at least one parameter in common comprises one of:
• time of capture of the electrical activity of the brain, date of capture of the electrical activity of the brain, area of a brain where electrical activity of the brain was sensed, and a characteristic of the electrical activity of a brain;
• a feature extraction module configured to derive a plurality of multi-dimensional feature vectors from the plurality of records of electrical activity of the brain;
• a feature reduction module configured to reduce the plurality of multi-dimensional feature vectors to a corresponding plurality of reduced-dimension feature vectors;
• a similarities module configured to form a plurality of clusters based on the plurality of reduced-dimension feature vectors, wherein each cluster has associated therewith a set of records of electrical activity of the brain;
• and
• a labeling module configured to enable, for at least one of the plurality of clusters:
• an automatic assignment of an automatically assigned label to each record of electrical activity of the brain included in the set of records of electrical activity of the brain associated with the cluster, and
• a validation of one or more of the automatically assigned labels,
• wherein the labeling module validates one or more automatically-assigned labels by being configured to:
• provide an output comprising information that enables a display of a record of electrical activity of the brain together with its automatically assigned label;
• and
• enable a mechanism for confirming an accuracy of the automatically assigned label.