103 lines
3.8 KiB
PHP
103 lines
3.8 KiB
PHP
<?php
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namespace App\Http\Controllers;
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use App\Models\KMeansAKB;
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use App\Exports\GeneralExport;
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use Maatwebsite\Excel\Facades\Excel;
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use Illuminate\Support\Facades\DB;
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class KMeansAKB4Controller extends Controller
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{
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public function index()
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{
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$kmeansAkb = KMeansAKB::with('kecamatan')->get();
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$sortedData = $kmeansAkb->sortBy('grand_total_akb');
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$randomCentroids = [
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$sortedData->values()[0]->grand_total_akb,
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$sortedData->values()[5]->grand_total_akb,
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$sortedData->values()[10]->grand_total_akb,
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$sortedData->values()[15]->grand_total_akb,
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];
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$iterations = [];
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$previousClusters = [];
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$stable = false;
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$iterationIndex = 1;
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while (!$stable) {
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$clusters = [];
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foreach ($kmeansAkb as $data) {
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$distances = array_map(fn($centroid) => sqrt(pow($data->grand_total_akb - $centroid, 2)), $randomCentroids);
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$minDistance = min($distances);
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$cluster = array_search($minDistance, $distances) + 1;
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$clusters[] = [
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'id' => $data->id_kmeans_akb,
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'id_kecamatan' => $data->kecamatan->nama_kecamatan,
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'grand_total_akb' => $data->grand_total_akb,
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'distances' => $distances,
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'min' => $minDistance,
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'cluster' => $cluster,
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];
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}
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$iterations[] = [
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'iteration' => $iterationIndex,
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'clusters' => $clusters,
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'centroids' => $randomCentroids,
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];
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$newCentroids = [];
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for ($i = 1; $i <= 4; $i++) {
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$clusterData = array_filter($clusters, fn($c) => $c['cluster'] == $i);
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$newCentroids[] = count($clusterData) > 0
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? array_sum(array_column($clusterData, 'grand_total_akb')) / count($clusterData)
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: $randomCentroids[$i - 1];
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}
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$currentClusters = array_column($clusters, 'cluster');
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$stable = $previousClusters == $currentClusters;
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$previousClusters = $currentClusters;
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$randomCentroids = $newCentroids;
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$iterationIndex++;
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}
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DB::transaction(function () use ($clusters) {
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foreach ($clusters as $cluster) {
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KMeansAKB::where('id_kmeans_akb', $cluster['id'])->update([
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'id_cluster_4' => $cluster['cluster'] + 1,
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'grand_total_akb' => $cluster['grand_total_akb'],
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]);
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}
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});
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$finalClusters = $kmeansAkb->groupBy('id_cluster_4');
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$finalClusters = [
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'C1' => $finalClusters->get(2, collect([])),
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'C2' => $finalClusters->get(3, collect([])),
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'C3' => $finalClusters->get(4, collect([])),
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'C4' => $finalClusters->get(5, collect([])),
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];
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return view('kmeans_akb4.index', compact('kmeansAkb', 'iterations', 'finalClusters'));
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}
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public function exportData()
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{
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$data = KMeansAKB::with(['kecamatan', 'cluster'])->get()->map(function ($item) {
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$namaKecamatan = $item->kecamatan->nama_kecamatan ?? 'N/A';
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$namaCluster4 = $item->cluster->where('id_cluster', $item->id_cluster_4)->first()->nama_cluster ?? 'N/A';
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$grandTotalAkb = $item->grand_total_akb ?? 'N/A';
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return [
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'nama_kecamatan' => $namaKecamatan,
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'nama_cluster_4' => $namaCluster4,
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'grand_total_akb' => $grandTotalAkb,
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];
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});
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$headings = ['Nama Kecamatan', 'Cluster', 'Grand Total AKB'];
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return Excel::download(new GeneralExport($data, $headings), 'data_export_cluster4.xlsx');
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}
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} |