Fig 1.
Calculate the MRCD matrix flowchart.
Selecting a subset from six candidate subsets that makes with the smallest determinant and record it as HMRCD. Taking mMRCD and KMRCD into Mahalanobis distance and calculate the class center Mahalanobis distance D(X,Gi) for distance discrimination [38].
Fig 2.
Calculate the MRCD matrix flowchart.
Different Fisher discriminants calculate variance of simulation data. When the robust covariance matrix based on MCD and MVE estimation cannot be calculated. Data 1
, Data 2
, Data 3
, Data 4
, Data 5
, Data 6
.
Fig 3.
Distance plot (a) and tolerance ellipse (b) of eigenvalue with .
Table 1.
Comparison of simulation data discriminant analysis error rate.
Table 2.
Comparison of robust discriminant methods.
Fig 4.
Distance data of outlier detection.
Table 3.
Classification and abbreviation of enterprise operation status.
Table 4.
Comparison of financial enterprises data discriminant analysis results.
Table 5.
Calculation of partial testing set sample class center by MRCD-Fisher discriminant method (2).
Table 6.
Calculation of partial testing set sample class center by MRCD-Fisher discriminant method (1).
Fig 5.
Center distance data of traditional discriminant (a), MVE-Fisher discriminant (b), MCD-Fisher discriminant (c), OGK-Fisher discriminant (d), RegMCD-Fisher discriminant (e) and MRCD-Fisher discriminant (f).