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authorJon Whiteaker <jbw@berkeley.edu>2012-02-27 22:28:57 -0800
committerJon Whiteaker <jbw@berkeley.edu>2012-02-27 22:28:57 -0800
commit65fa4b2d3c6ce5703fc52d9cf097669890282344 (patch)
tree4627f95189b27cfc7d9a5dbc6698f2830df363d4 /data/nn-goldman.py
parent3b1bf0cec030136c2e3e97a468ba9df176098941 (diff)
downloadkinect-65fa4b2d3c6ce5703fc52d9cf097669890282344.tar.gz
adding outline of paper
Diffstat (limited to 'data/nn-goldman.py')
-rwxr-xr-xdata/nn-goldman.py26
1 files changed, 18 insertions, 8 deletions
diff --git a/data/nn-goldman.py b/data/nn-goldman.py
index 297544b..34072de 100755
--- a/data/nn-goldman.py
+++ b/data/nn-goldman.py
@@ -3,13 +3,19 @@ import sys
import numpy as np
#in place modification !
-def normalize(a):
- print a
- for i in range(a.shape[1]):
+def normalize(a,weights=None):
+ if weights == None:
+ weights= {}
+ cols = a.shape[1]
+ for i in range(cols):
+ weights[i] = None
+
+ for i in weights.keys():
column = a[:,i]
- weights = np.mean(column), np.std(column)
- a[:,i] = (column-weights[0])/weights[1]
- return a
+ if weights[i] == None:
+ weights[i] = np.mean(column), np.std(column)
+ a[:,i] = (column-weights[i][0])/weights[i][1]
+ return a,weights
def knn_search(names,d1,d2,k):
for i,row2 in enumerate(d2):
@@ -29,7 +35,11 @@ if __name__ == "__main__":
sk_data = sk_data[:,1:]
noise1 = np.random.normal(0,var,sk_data.shape)
noise2 = np.random.normal(0,var,sk_data.shape)
- sk1 = normalize(sk_data+noise1)
- sk2 = normalize(sk_data+noise2)
+ #sk1,weights = normalize(sk_data+noise1)
+ #sk2,weights = normalize(sk_data+noise2,weights)
+ sk1 = sk_data + noise1
+ sk2 = sk_data + noise2
+ print sk1
+ print sk2
knn_search(names,sk1,sk2,1)