Data boundary deriving system and method

A data boundary deriving method operating performed in a data boundary deriving system equipped with a central processing unit and memory, the data boundary deriving method comprising:

• a sample data reception step of receiving a plurality of pieces of sample data having a plurality of characteristic values;
• a cluster generation step of generating a plurality of clusters by classifying the plurality of pieces of sample data;
• a probability density function derivation step of deriving a probability density function based on characteristic values of data included in each of the plurality of generated clusters;
• and
• a learning data generation step of generating learning data by calculating values of the probability density function of a cluster including each piece of sample data for each of the plurality of sample data and labeling the individual pieces of sample data based on the calculated values.