Functions — github.com/diego-vicente/som-tsp

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Functions12 in github.com/diego-vicente/som-tsp

⨍ Functions 12 ◇ Types & classes 0

↓ 2 callersFunctioneuclidean_distance

Return the array of distances of two numpy arrays of points.

src/distance.py:7

↓ 2 callersFunctionplot_network

Plot a graphical representation of the problem

↓ 2 callersFunctionselect_closest

Return the index of the closest candidate to a given point.

src/distance.py:3

↓ 1 callersFunctiongenerate_network

Generate a neuron network of a given size. Return a vector of two dimensional points in the interval [0,1].

src/neuron.py:5

↓ 1 callersFunctionget_neighborhood

Get the range gaussian of given radix around a center index.

src/neuron.py:13

↓ 1 callersFunctionget_route

Return the route computed by a network.

src/neuron.py:27

↓ 1 callersFunctionmain

↓ 1 callersFunctionnormalize

Return the normalized version of a given vector of points. For a given array of n-dimensions, normalize each dimension by removing the i

src/io_helper.py:45

↓ 1 callersFunctionplot_route

Plot a graphical representation of the route obtained

↓ 1 callersFunctionread_tsp

Read a file in .tsp format into a pandas DataFrame The .tsp files can be found in the TSPLIB project. Currently, the library only consid

src/io_helper.py:4

↓ 1 callersFunctionroute_distance

Return the cost of traversing a route of cities in a certain order.

src/distance.py:11

↓ 1 callersFunctionsom

Solve the TSP using a Self-Organizing Map.