code: function (clusterCenters) {
          var jvmObject;
          if (clusterCenters instanceof org.apache.spark.mllib.clustering.KMeansModel) {
              jvmObject = clusterCenters;
          } else {
              jvmObject = new org.apache.spark.mllib.clustering.KMeansModel(clusterCenters);
          }
  
          this.logger = Logger.getLogger("KMeansModel_js");
          JavaWrapper.call(this, jvmObject);
  
      }
docs: A clustering model for K-means. Each point belongs to the cluster with the closest center.
  @classdesc
   
  A Java-friendly constructor that takes an Iterable of Vectors.
  @param {@module:eclairjs/mllib/linalg.Vector[]} clusterCenters
  @returns {??}
  @memberof module:eclairjs/mllib/clustering
  @class