Feature selection algorithm under conditions of noisy data and limited recording

A computer program product comprising:

• a computer readable storage medium having stored thereon:
• first instructions executable by a device to cause the device to apply, by machine logic of the computer, an inter-class filtering to a set of vector data, wherein:
• the inter-class filtering reduces a number of vector values under consideration such that signal overlap is reduced between at least two classes of a plurality of classes,
• each class of the plurality of classes respectively (i) represents a source for vector data and (ii) is associated with an entity or an object,
• the set of vector data includes a plurality of vector values from each class of the plurality of classes, and
• the inter-class filtering is based, at least in part, on an inter-class distance wherein the inter-class distance is based on a sum of distances between:
• a subject vector value, of a given class, in the plurality of vector values;
• and
• at least some of the vector values in the plurality of vector values of at least one other class of the plurality of classes;
• and
• second instructions executable by a device to cause the device to apply, by machine logic of the computer, an intra-class filtering to the set of vector data, wherein the intra-class filtering is based, at least in part, on an intra-class distance;
• and
• third instructions executable by a device to cause the device to respond to a determination that a pattern in the set of filtered vector data matches a pattern assigned to a given class by executing an action that is associated with the given class.

A computer system comprising:

• a processor set;
• and
• a computer readable storage medium;
• wherein:
• the processor set is structured, located, connected, and/or programmed to execute instructions stored on the computer readable storage medium;
• and
• the instructions include:
• first instructions executable by a device to cause the device to apply, by machine logic of the computer, an inter-class filtering to a set of vector data, wherein:
• the inter-class filtering reduces a number of vector values under consideration such that signal overlap is reduced between at least two classes of a plurality of classes,
• each class of the plurality of classes respectively (i) represents a source for vector data and (ii) is associated with an entity or an object,
• the set of vector data includes a plurality of vector values from each class of the plurality of classes, and
• the inter-class filtering is based, at least in part, on an inter-class distance, wherein the inter-class distance is based on a sum of distances between:
• a subject vector value, of a given class, in the plurality of vector values;
• and
• at least some of the vector values in the plurality of vector values of at least one other class of the plurality of classes;
• and
• second instructions executable by a device to cause the device to apply, by machine logic of the computer, an intra-class filtering to the set of vector data, wherein the intra-class filtering is based, at least in part, on an intra-class distance;
• and
• third instructions executable by a device to cause the device to respond to a determination that a pattern in the set of filtered vector data matches a pattern assigned to a given class by executing an action that is associated with the given class.