Research Article

Sedimentary Environment Analysis by Grain-Size Data Based on Mini Batch K-Means Algorithm

Table 2

Values of different parameters, reassignment ratio and mini batch, in different evaluation indices.

Evaluation indicesMini batch102550100150200250300350400
Reassignment ratio

AMI00.2281213620.2551171020.2464993560.217481050.2294428570.3617034050.3714819890.2368739870.2349659120.228301649
0.0010.3730927720.3245905030.2342205150.2394674110.221293950.2294428570.2337907950.2203602640.3752264870.218485929
0.0020.2879402430.2290047420.33747080.2275336970.2335743280.2302824440.2299058520.2390524590.2137980310.247221357
0.0050.2208659360.3796132780.2954714330.3827174950.2441294450.2271660560.2575612990.2239000560.2291976830.224522543
0.010.3585891820.2243569980.3214568040.3873287030.3865845890.3791232330.2335743280.3533535510.3848386760.261293993
0.0150.2106907960.2573501010.3684301630.2333628520.3727974180.2313840.2335743280.228486630.2211894110.224619844
0.020.3704192150.3840867170.2254687440.2861394960.2335406030.2321917140.220068920.3859270060.3656633220.230940806
0.0250.2204861020.409190720.3852261570.3625715550.2238489070.3521268350.2349055160.2210686480.2321038660.263270665
0.030.3638337580.4042430260.3982696210.3653635020.2355664240.2323701730.3614354370.3532725290.2989585270.2308378
0.040.3661580420.2336552940.2359240270.2574809660.2363664780.2345511920.229551080.3755320130.3751738650.229442857

NMI00.2754486840.3152139550.29305310.2632268060.2771536650.3890107470.3925987570.2854234630.2845627580.275745815
0.0010.3968295270.3550988670.2835761890.2881495750.270212210.2771536650.2833360080.2685241810.3965683570.26721278
0.0020.299011970.2777095680.3683942450.2749491280.2829831410.2787586940.278485510.2876922320.2607260880.301869173
0.0050.2691560330.3999104240.3060012180.4010016430.2856090870.270942150.3081900740.2727681790.2736232740.268337998
0.010.3858776970.2674904580.3512330840.4078460870.406654820.3997958430.2829831410.3782942110.4054467330.312048714
0.0150.2563940640.3086501880.3888226070.2826372830.3975361810.2798612550.2829831410.2760494940.2706184730.270277035
0.020.3868854170.3886177270.2728234220.297874430.2840603040.2814140590.2699936380.4232812190.3871172090.279373128
0.0250.2664770180.414853760.4073027930.3897079830.2690170640.3771481150.2845634580.2618440750.2808122010.314307297
0.030.3893847680.4134183720.4233931770.3880523870.2838762610.2827508590.3852671850.3786781410.3297224190.278498981
0.040.3915068150.2837967050.2839953330.2681888180.2861529280.2843438650.2777929950.397066640.3991080330.277153665

Completeness00.330100190.3868928420.3460385970.316074360.3322907170.4166266850.4132337860.3414414590.3421280490.330553712
0.0010.4203739570.3866198020.3408322260.3442660030.3273244040.3322907170.3408753520.3246191180.4174456290.324174705
0.0020.2894282050.3342483620.4003180720.3297461950.3403393460.3349352250.3348125080.3437649260.31533150.366071519
0.0050.3254438530.4196297850.2969605630.4334651420.3318961270.3207814190.3663595660.3296659760.3242675150.318315311
0.010.4134845980.316544730.3819136110.4277960560.4261158080.4199286560.3403393460.4032498470.4255001710.370265114
0.0150.3093950110.3677535770.4086634790.3398130630.4222041950.335996220.3403393460.3310162530.3284475470.322768397
0.020.4024400260.3916728750.327605660.2876217150.3429843410.3385630980.3285821260.4397738140.4081361290.335462349
0.0250.3195683170.447476970.4289749070.4171252660.3208579840.4021991370.3422255910.307802240.3372430240.372844734
0.030.414996750.4418836240.4442620140.4104448590.3396184860.3415173610.4089485290.4041609850.3617379740.333513868
0.040.4168827840.3421814320.3393924680.2589883280.3439292260.3422009240.3336694530.4181566270.4228685050.332290717

Precision00.6561606730.3203456330.4505464740.2185053710.438299860.4202522190.2023914060.4460345630.2971415230.43829986
0.0010.2417094820.4279869220.2977860810.2874731430.4254086880.2075478750.2030359650.4254086880.1998131710.21463802
0.0020.2056141990.6600280240.8907426440.4370107430.2036805230.2056141990.2977860810.2868285850.2906959360.431209715
0.0050.4292760390.1985240540.5117795420.4092947220.2088369920.4318542740.6535824380.4331433910.2139934610.297786081
0.010.3661092950.2101261090.2307519850.9213685190.2539560950.3693320880.2971415230.5994395140.3661092950.273292854
0.0150.2887622610.2075478750.2043250820.2043250820.4460345630.4357216250.4370107430.4376553010.2152825780.296496964
0.020.3557963570.7509107890.2094815510.5104904250.2997197570.2043250820.4221858940.4279869220.2069033160.436366184
0.0250.8707986920.922543670.4060719290.359019150.298430640.2404203640.2810275570.4318542740.4363661840.273937412
0.030.2114152270.4228304530.1914339090.204969640.2887622610.2990751990.2101261090.3706212050.3409715090.441522653
0.040.242354040.4350770670.2881177020.4879308730.2971415230.2971415230.2977860810.2558897710.2520224190.43829986