JAVA implementation output: ####################################################################### ############# file brainlog.mve (= sample output file) : ############ ####################################################################### Minimum Volume Ellipsoid Brain and weight data (January 8, 1990). Number of columns in the input file: 2 The program selected all variables (=columns) The data set contains 28 cases. The subsamples contains 3 cases. Number of replications = 1500 The ellipsoids contain 15 cases. SSCP matrix: 147.5167188785778 124.0527617035989 124.0527617035989 132.74395553676996 Sample mean: 0 1.6378572185714286 1 1.9219465964285716 Sample covariance matrix: 2.681651235653139 1.3300846932169568 1.3300846932169568 1.085753755189466 Sample correlation matrix: 1.0 0.7794934643348077 0.7794934643348077 1.0 Number of singular subsamples was 0 The best subsample consisted of the cases: 2 22 1 Location of the best subsample: 0 1.5140266 1 1.9259543666666665 Covariance matrix of the best subsample: 1.64901041997888 1.1443609424609598 1.1443609424609598 0.8131628872594032 Its inverse: 25.93646646072494 -36.500287541570955 -36.500287541570955 52.5964774355528 Median Mahalanobis distance (m2): 2.559209719194583 Median covariance matrix (m2Cj): 4.220163493863091 2.928659646212761 2.928659646212761 2.081054364362594 Its inverse: 10.134560784993955 -14.262327650528734 -14.262327650528734 20.551843423017846 Correction factor c(n,p) = 1.5769230769230769 Inflated Covariance matrix (C(X)): 7.570005645291836 5.25334387807683 5.25334387807683 3.7329343541530386 Observations with weights computed with 97.50 percentage point: 7.37776 I W MD MD2 ROBMD ROBMD2 1 1 1.0065905837546156 1.013224603303458 0.5389307531705722 0.2904463567130002 2 1 0.6952611013541992 0.483387999056254 0.5389307531705707 0.29044635671299857 3 1 0.3008313992524721 0.09049953077620027 0.4042512260425155 0.163419053756877 4 1 0.3808171793882421 0.14502172411721656 0.6261768907026494 0.3920974984500377 5 1 1.1464851375239113 1.3144281705632217 0.7366778239207032 0.5426942162565427 6 0 2.644176090738746 6.991667198834438 6.8313821759572955 46.66778243398703 7 1 1.7083344135584178 2.918406468547983 1.5917201594707227 2.533573066065503 8 1 0.7065217591220914 0.4991729961129745 0.6385933881168588 0.40780151534656917 9 1 0.85840384931943 0.7368571685264147 0.4759222837345627 0.2265020201551216 10 1 0.7986976339515607 0.6379179104798213 1.673992071256383 2.802249454629235 11 1 0.6864852748949384 0.4712620326475791 0.6887517148509387 0.4743789247101087 12 1 0.874349431338192 0.7644869280814196 0.49501580664007944 0.2450406488235285 13 1 0.6777910609451667 0.4594007222971747 0.516712497092303 0.2669918046513633 14 0 1.7215260357602893 2.963651891800537 3.3912629430697736 11.500664349038264 15 1 1.7619468964732286 3.104456865991642 1.1411083887850122 1.3021283549555265 16 0 2.3694727965817646 5.614401333741009 6.115759961421361 37.4025199057246 17 0 1.2222528175354033 1.4939019499732318 2.7186965225394375 7.391310781668031 18 1 0.20317795821215318 0.04128128270325947 0.6723716222811679 0.4520835984490095 19 1 1.85520094036911 3.4417705291464307 1.1927396522395861 1.4226278780246089 20 1 2.266267547547835 5.135968597068478 1.2351222544510416 1.5255269834402236 21 1 0.8314161890255922 0.6912528793738393 0.46747445148889055 0.21853236279483906 22 1 0.41615797777803126 0.17318746246830038 0.5389307531705683 0.290446356712996 23 1 0.2641824109944138 0.06979234627882137 0.28826845630253206 0.08309870289904484 24 1 1.0461197956476875 1.0943666268459598 1.9524612071314988 3.8121047653533893 25 0 2.911101226717775 8.474510352197735 7.263816171943886 52.76302537979353 26 1 1.586457894447233 2.516848650853948 1.0408880313336848 1.0834478937737138 27 1 1.5821239908721763 2.503116322493302 1.1899910133393674 1.4160786118284547 28 1 0.39466372485871215 0.15575945571935323 0.7466490837424397 0.5574848542534246 Number of points with non-zero weight: 23 Weighted mean: 0 1.3154029660869566 1 1.856873117391304 Weighted covariance matrix: 2.1399860540279643 1.6068556533199612 1.6068556533199612 1.2520384783597922 Eigenvalues of weighted covariance matrix: 0 3.3630748969579614 1 0.02894963542979534 Weighted cerrelation matrix: 1.0 0.9816633011536128 0.9816633011536128 1.0 #######################################################################