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comparison python/ml.py @ 526:21bdeb29f855

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corrected bug in initialization of lists and loading trajectories from vissim files
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Fri, 20 Jun 2014 17:45:32 -0400
parents 727e3c529519
children 39de5c532559
comparison
equal deleted inserted replaced
525:7124c7d2a663 526:21bdeb29f855
56 def kMedoids(similarityMatrix, initialCentroids = None, k = None): 56 def kMedoids(similarityMatrix, initialCentroids = None, k = None):
57 '''Algorithm that clusters any dataset based on a similarity matrix 57 '''Algorithm that clusters any dataset based on a similarity matrix
58 Either the initialCentroids or k are passed''' 58 Either the initialCentroids or k are passed'''
59 pass 59 pass
60 60
61 def assignCluster(data, similarFunc, initialCentroids = [], shuffleData = True): 61 def assignCluster(data, similarFunc, initialCentroids = None, shuffleData = True):
62 '''k-means algorithm with similarity function 62 '''k-means algorithm with similarity function
63 Two instances should be in the same cluster if the sameCluster function returns true for two instances. It is supposed that the average centroid of a set of instances can be computed, using the function. 63 Two instances should be in the same cluster if the sameCluster function returns true for two instances. It is supposed that the average centroid of a set of instances can be computed, using the function.
64 The number of clusters will be determined accordingly 64 The number of clusters will be determined accordingly
65 65
66 data: list of instances 66 data: list of instances
69 from random import shuffle 69 from random import shuffle
70 from copy import copy, deepcopy 70 from copy import copy, deepcopy
71 localdata = copy(data) # shallow copy to avoid modifying data 71 localdata = copy(data) # shallow copy to avoid modifying data
72 if shuffleData: 72 if shuffleData:
73 shuffle(localdata) 73 shuffle(localdata)
74 if initialCentroids: 74 if initialCentroids == None:
75 centroids = [Centroid(localdata[0])]
76 else:
75 centroids = deepcopy(initialCentroids) 77 centroids = deepcopy(initialCentroids)
76 else:
77 centroids = [Centroid(localdata[0])]
78 for instance in localdata[1:]: 78 for instance in localdata[1:]:
79 i = 0 79 i = 0
80 while i<len(centroids) and not similarFunc(centroids[i].instance, instance): 80 while i<len(centroids) and not similarFunc(centroids[i].instance, instance):
81 i += 1 81 i += 1
82 if i == len(centroids): 82 if i == len(centroids):