anonymous
  • anonymous
There is an error in Problem Set 10. File ps10.py > Class Cluster > Function computeCentroid # Corrected def computeCentroid(self): dim = self.points[0].dimensionality() totVals = pylab.array([0.0]*dim) totVals2 = pylab.array([0.0]*dim) for p in self.points: totVals += p.getAttrs() totVals2 += p.getOriginalAttrs() meanPoint = self.pointType('mean', totVals2/float(len(self.points)), totVals/float(len(self.points))) return meanPoint
MIT 6.00 Intro Computer Science (OCW)
  • Stacey Warren - Expert brainly.com
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SOLVED
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chestercat
  • chestercat
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anonymous
  • anonymous
that is not a mistake. the centroid point is the mean vector of a cluster - it has no need for unNormalized data. All the functions that make use of it (the centroid) are using Normalized data. No need for your correction.

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