Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/15342#discussion_r82619472
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -43,21 +43,21 @@ import org.apache.spark.util.random.XORShiftRandom
class KMeans private (
private var k: Int,
private var maxIterations: Int,
- private var runs: Int,
private var initializationMode: String,
private var initializationSteps: Int,
private var epsilon: Double,
private var seed: Long) extends Serializable with Logging {
/**
- * Constructs a KMeans instance with default parameters: {k: 2,
maxIterations: 20, runs: 1,
+ * Constructs a KMeans instance with default parameters: {k: 2,
maxIterations: 20,
* initializationMode: "k-means||", initializationSteps: 2, epsilon:
1e-4, seed: random}.
*/
@Since("0.8.0")
- def this() = this(2, 20, 1, KMeans.K_MEANS_PARALLEL, 2, 1e-4,
Utils.random.nextLong())
+ def this() = this(2, 20, KMeans.K_MEANS_PARALLEL, 2, 1e-4,
Utils.random.nextLong())
/**
- * Number of clusters to create (k).
+ * Number of clusters to create (k). Note that if the input has fewer
than k elements,
+ * then it's possible that fewer than k clusters are created.
--- End diff --
If we back out change to avoid duplicate centroids, does this annotation be
invalid?
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