本文整理匯總了Python中Plotter.Plotter.plotCentroids方法的典型用法代碼示例。如果您正苦於以下問題：Python Plotter.plotCentroids方法的具體用法？Python Plotter.plotCentroids怎麽用？Python Plotter.plotCentroids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.plotCentroids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: loadData
# 需要導入模塊: from Plotter import Plotter [as 別名]
# 或者: from Plotter.Plotter import plotCentroids [as 別名]
# If you want a different dataset talk to @Johan
trainingX, trainingY = loadData('testData.txt')
print "Init - show the data..."
# Just show the data
plotter.plotUnlabledData(trainingX, trainingY)
plotter.show()
raw_input('Press enter to continue')
# Define the centroids based on some points
print "Init - Create the first cluster points and plot them..."
# TODO here is where you change the number of centroids by adding or removing the points.
# The numbers represent the starting points of each centroid with the following coordinate pair: (x, y)
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)