[mob] Use complete clustering for breaking up clusters

mobile/lib/services/machine_learning/face_ml/feedback/cluster_feedback.dart

@@ -13,8 +13,6 @@ import "package:photos/generated/protos/ente/common/vector.pb.dart";
 import "package:photos/models/file/file.dart";
 import 'package:photos/services/machine_learning/face_ml/face_clustering/cosine_distance.dart';
 import "package:photos/services/machine_learning/face_ml/face_clustering/face_clustering_service.dart";
-import "package:photos/services/machine_learning/face_ml/face_clustering/face_info_for_clustering.dart";
-import "package:photos/services/machine_learning/face_ml/face_filtering/face_filtering_constants.dart";
 import "package:photos/services/machine_learning/face_ml/face_ml_result.dart";
 import "package:photos/services/machine_learning/face_ml/person/person_service.dart";
 import "package:photos/services/search_service.dart";
@@ -234,27 +232,14 @@ class ClusterFeedbackService {
         maxClusterID++;
       }
     } else {
-      final clusteringInput = embeddings.map((key, value) {
-        return MapEntry(
-          key,
-          FaceInfoForClustering(
-            faceID: key,
-            embeddingBytes: value,
-            faceScore: kMinHighQualityFaceScore + 0.01,
-            blurValue: kLapacianDefault,
-          ),
-        );
-      }).values.toSet();
-
       final faceIdToCluster =
-          await FaceClusteringService.instance.predictLinear(
-        clusteringInput,
+          await FaceClusteringService.instance.predictComplete(
+        embeddings,
         fileIDToCreationTime: fileIDToCreationTime,
-        distanceThreshold: 0.23,
-        useDynamicThreshold: false,
+        distanceThreshold: 0.30,
       );
 
-      if (faceIdToCluster == null) {
+      if (faceIdToCluster.isEmpty) {
         _logger.info('No clusters found');
         return {};
       } else {