| 摘要 |
<p>Disclosed are the embodiments for creating a model capable of identifying one or more clusters in a financial data. An input is received pertaining to a range of numbers. Each number in the range of numbers is representative of a number of clusters in the financial data. For a cluster, one or more first parameters of a distribution associated with the cluster are estimated. Thereafter, a threshold value is determined based on the one or more first parameters. An inverse cumulative distribution of each of one or more n-dimensional variables in the financial data is determined. The one or more first parameters are updated to generate one or more second parameters based on the estimated inverse cumulative distribution. A model is created for each number in the range of numbers based on the one or more second parameters.</p> |
