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comparison python/ml.py @ 563:39de5c532559
place holder functions
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Sat, 19 Jul 2014 23:44:39 -0400 |
parents | 21bdeb29f855 |
children | 3058e00887bc |
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562:259ccb3dd962 | 563:39de5c532559 |
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105 from scipy.cluster.vq import kmeans, whiten, vq | 105 from scipy.cluster.vq import kmeans, whiten, vq |
106 features = whiten(features) | 106 features = whiten(features) |
107 centroids,distortion = kmeans(features,k, iter) | 107 centroids,distortion = kmeans(features,k, iter) |
108 code,distance = vq(features,centroids) # code starting from 0 (represent first cluster) to k-1 (last cluster) | 108 code,distance = vq(features,centroids) # code starting from 0 (represent first cluster) to k-1 (last cluster) |
109 return code,sigma | 109 return code,sigma |
110 | |
111 def motionPatterLearning(objects, maxDistance): | |
112 ''' | |
113 Option to use only the (n?) longest features per object instead of all for speed up | |
114 TODO''' | |
115 pass | |
116 | |
117 def prototypeCluster(): | |
118 ''' | |
119 TODO''' | |
120 pass |