Method to identify multivariate anomalies by computing similarity and dissimilarity between entities and considering their spatial interdependency

摘要

A method is presented for identifying anomalies based on the dissimilarity and similarity between multivariate samples. A step like procedure applies Dissimilarity- and Similarity computation in a sequenced fashion that considers variable variance, variable correlation and variable distribution pattern of the samples. The spatial interdependency of samples is assessed to deduce the nature of the anomaly. Similarity computation of samples is used to identify weak anomalies that are difficult to detect by conventional exploration methods.

主权项

1. A method for detecting anomalous objects or observations (referred to as samples) and assessing the nature thereof, assigning a geo-signature to every sample, determining the similarity and dissimilarity of samples' geo-signatures, evaluating the spatial distribution of similar samples, is comprised of the following operational phases:
1. a first phase for identifying the first order statistical anomalous samples, 2. a second phase for identifying the second order statistical anomalous samples, 3. a third phase considering the spatial distribution of similar first and second order anomalous samples for assessing their genesis, 4. a fourth phase for validating the interdependency, also spatially among the source of the anomaly and the first and second order samples, 5. a fifth phase for recognizing weak anomalies by identifying second order anomalous samples that are spatially separated but similar to the source of the anomaly said in the fourth phase.