Algebraic multivariate signature algorithm with two hidden groups

Key Points

• The aim is to develop a new algebraic multivariate signature algorithm that can effectively handle hidden groups.
• Develop an algebraic framework for signature calculation
• Implement the algorithm using multivariate data sets
• Validate the algorithm through comparisons with existing methods
• The algorithm successfully identifies two hidden groups within the data
• Enhanced accuracy in pattern recognition compared to traditional methods
• Demonstrated efficiency in processing large datasets