本文整理匯總了Python中Plotter.Plotter.clear方法的典型用法代碼示例。如果您正苦於以下問題：Python Plotter.clear方法的具體用法？Python Plotter.clear怎麽用？Python Plotter.clear使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類Plotter.Plotter的用法示例。
在下文中一共展示了Plotter.clear方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: Point
# 需要導入模塊: from Plotter import Plotter [as 別名]
# 或者: from Plotter.Plotter import clear [as 別名]
clusterPoints = [Point(2, 3), Point(35, 20), Point(40, 40), Point(60, 60), Point(30, 30)]
centroids = getCentroids(clusterPoints) # just convert the points to centroids for plotting and labeling assistance...
plotter.plotCentroids(centroids)
print "Init complete..."
raw_input('Press enter to continue and to start the algorithm.')
# Run the algorith 10 times
# TODO So right now we are running the algorithm 10 times. Maybe we should come up with some better meassurement?
for x in xrange(1,10):
# Get lables
print "Create the lables, this should take some time...."
# The interesting part is what is going on in the classify method.
labels = kmeans.classify(trainingX, trainingY, centroids)
# Plot the labled data
print "Plot the labled data."
plotter.clear()
plotter.plotCentroids(centroids)
plotter.plotLabledData(trainingX, trainingY, labels, centroids)
raw_input('Press enter to continue')
# Recalculated the centroids and unlable the data so to say...
print "Plot the new centroids."
plotter.clear()
plotter.plotUnlabledData(trainingX, trainingY)
centroids = kmeans.reCalculateCentroids(trainingX, trainingY, labels, centroids)
plotter.plotCentroids(centroids)
raw_input('Press enter to continue')
raw_input("Trying out the clusters with some new data... press enter to continue")