Python kmeans_plus_plus_initialization 예제들

예제 #1

파일: clustering_ops.py 프로젝트: zhangp1119/tensorflow

 def _kmeans_plus_plus(self):
   # Points from only the first shard are used for initializing centers.
   # TODO(ands): Use all points.
   inp = self._inputs[0]
   if self._distance_metric == COSINE_DISTANCE:
     inp = nn_impl.l2_normalize(inp, dim=1)
   return gen_clustering_ops.kmeans_plus_plus_initialization(
       inp, math_ops.to_int64(self._num_remaining), self._seed,
       self._kmeans_plus_plus_num_retries)

예제 #2

파일: clustering_ops.py 프로젝트: adit-chandra/tensorflow

 def _kmeans_plus_plus(self):
   # Points from only the first shard are used for initializing centers.
   # TODO(ands): Use all points.
   inp = self._inputs[0]
   if self._distance_metric == COSINE_DISTANCE:
     inp = nn_impl.l2_normalize(inp, dim=1)
   return gen_clustering_ops.kmeans_plus_plus_initialization(
       inp, math_ops.cast(self._num_remaining, dtypes.int64), self._seed,
       self._kmeans_plus_plus_num_retries)