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Zen in the art of IT: Creating a price model using k-Nearest Neighbours + Genetic Algorithm
k-NN is a classification algorithm that uses (k) for the number of neighbours to determine what class an item will belong to. To determine the neighbours to be used the algorithm uses a distance / similarity score (Link->http://ift.tt/1rjjfQk) function, in this example (Euclidian Distance).
PCI takes it a little further to help with accuracy in some scenarios. This includes the usage of a weighted average of the neighbours, as well as then using either simulated annealing or genetic algorithms to determine the best weights, building on Optimization techniques - Simulated Annealing & Genetic Algorithms (Link->http://ift.tt/12fu3cD)
http://ift.tt/1rjjfQm
http://ift.tt/12fu3sU
k-NN is a classification algorithm that uses (k) for the number of neighbours to determine what class an item will belong to. To determine the neighbours to be used the algorithm uses a distance / similarity score (Link->http://ift.tt/1rjjfQk) function, in this example (Euclidian Distance).
PCI takes it a little further to help with accuracy in some scenarios. This includes the usage of a weighted average of the neighbours, as well as then using either simulated annealing or genetic algorithms to determine the best weights, building on Optimization techniques - Simulated Annealing & Genetic Algorithms (Link->http://ift.tt/12fu3cD)
http://ift.tt/1rjjfQm
http://ift.tt/12fu3sU
from Public RSS-Feed of Jeffery yuan. Created with the PIXELMECHANICS 'GPlusRSS-Webtool' at http://gplusrss.com http://ift.tt/1rjjevB
via LifeLong Community
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