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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">No.</td><td class="align_center">Clusters</td><td class="align_center">Number of samples</td><td class="align_center">Percentage (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Marine</td><td class="align_center">338</td><td class="align_center">15.787</td></tr><tr><td class="align_left">2</td><td class="align_center">Fluvial</td><td class="align_center">781</td><td class="align_center">36.478</td></tr><tr><td class="align_left">3</td><td class="align_center">Lacustrine</td><td class="align_center">1022</td><td class="align_center">47.735</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Clusters of sediment grain-size samples.</div>

Geofluids

tab3

Table 3

Table 3: Sedimentary Environment Analysis by Grain-Size Data Based on Mini Batch K-Means Algorithm 