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-rwxr-xr-xexamples/src/main/python/kmeans.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/examples/src/main/python/kmeans.py b/examples/src/main/python/kmeans.py
index 1939150646..1456c87312 100755
--- a/examples/src/main/python/kmeans.py
+++ b/examples/src/main/python/kmeans.py
@@ -68,14 +68,14 @@ if __name__ == "__main__":
closest = data.map(
lambda p: (closestPoint(p, kPoints), (p, 1)))
pointStats = closest.reduceByKey(
- lambda (x1, y1), (x2, y2): (x1 + x2, y1 + y2))
+ lambda (p1, c1), (p2, c2): (p1 + p2, c1 + c2))
newPoints = pointStats.map(
- lambda xy: (xy[0], xy[1][0] / xy[1][1])).collect()
+ lambda st: (st[0], st[1][0] / st[1][1])).collect()
- tempDist = sum(np.sum((kPoints[x] - y) ** 2) for (x, y) in newPoints)
+ tempDist = sum(np.sum((kPoints[iK] - p) ** 2) for (iK, p) in newPoints)
- for (x, y) in newPoints:
- kPoints[x] = y
+ for (iK, p) in newPoints:
+ kPoints[iK] = p
print("Final centers: " + str(kPoints))