Problem in calculating all differences between features of data and lists
Suppose that we have some data that contain features for the sample numbers 0,1,2,...,9 and a list y that contains the labels of 0,1,...,9 that correspond to each raw of data.These data have dimensions (2006,256) where 256 are the features and 2006 the samples numbers.
Also we are given the means of 0,1,2,...,9 as v0,v1,v2,...,v9, where each v0,v1,...,v9 has dimension (1,256).
I would like to calculate the euclidean difference between all the 2006 sample and v0,v1,v2,...,v9 in order to make classification.
In order to do that I have to take the difference between features and v0,v1,v2,...,v9 for each sample.For example for sample 1 I have to take the difference of 256 features with v0, then with v1 etc. and then find the min difference.
I define ListV=[v0,v1,v2,...,v9]
and my code is
diff=
ListV=[v0,v1,v2,v3,v4,v5,v6,v7,v8,v9]
for j in range(0,10):
i=np.where(y==j)
for k in range(0,len(i[0][:])):
for l in range(0,9-j):
diff.append(distance.euclidean(ListV[j+l],data[i[0][k],:]))
but this code leaves out many euclidean differences.
I would like some help in order to fix that and find all the differences.
python python-3.x
edited Nov 10 '18 at 15:25
rinkert
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
add a comment |
Suppose that we have some data that contain features for the sample numbers 0,1,2,...,9 and a list y that contains the labels of 0,1,...,9 that correspond to each raw of data.These data have dimensions (2006,256) where 256 are the features and 2006 the samples numbers.
Also we are given the means of 0,1,2,...,9 as v0,v1,v2,...,v9, where each v0,v1,...,v9 has dimension (1,256).
I would like to calculate the euclidean difference between all the 2006 sample and v0,v1,v2,...,v9 in order to make classification.
In order to do that I have to take the difference between features and v0,v1,v2,...,v9 for each sample.For example for sample 1 I have to take the difference of 256 features with v0, then with v1 etc. and then find the min difference.
I define ListV=[v0,v1,v2,...,v9]
and my code is
diff=
ListV=[v0,v1,v2,v3,v4,v5,v6,v7,v8,v9]
for j in range(0,10):
i=np.where(y==j)
for k in range(0,len(i[0][:])):
for l in range(0,9-j):
diff.append(distance.euclidean(ListV[j+l],data[i[0][k],:]))
but this code leaves out many euclidean differences.
I would like some help in order to fix that and find all the differences.
python python-3.x
edited Nov 10 '18 at 15:25
rinkert
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
add a comment |
Suppose that we have some data that contain features for the sample numbers 0,1,2,...,9 and a list y that contains the labels of 0,1,...,9 that correspond to each raw of data.These data have dimensions (2006,256) where 256 are the features and 2006 the samples numbers.
Also we are given the means of 0,1,2,...,9 as v0,v1,v2,...,v9, where each v0,v1,...,v9 has dimension (1,256).
I would like to calculate the euclidean difference between all the 2006 sample and v0,v1,v2,...,v9 in order to make classification.
In order to do that I have to take the difference between features and v0,v1,v2,...,v9 for each sample.For example for sample 1 I have to take the difference of 256 features with v0, then with v1 etc. and then find the min difference.
I define ListV=[v0,v1,v2,...,v9]
and my code is
diff=
ListV=[v0,v1,v2,v3,v4,v5,v6,v7,v8,v9]
for j in range(0,10):
i=np.where(y==j)
for k in range(0,len(i[0][:])):
for l in range(0,9-j):
diff.append(distance.euclidean(ListV[j+l],data[i[0][k],:]))
but this code leaves out many euclidean differences.
I would like some help in order to fix that and find all the differences.
python python-3.x
edited Nov 10 '18 at 15:25
rinkert
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
Suppose that we have some data that contain features for the sample numbers 0,1,2,...,9 and a list y that contains the labels of 0,1,...,9 that correspond to each raw of data.These data have dimensions (2006,256) where 256 are the features and 2006 the samples numbers.
Also we are given the means of 0,1,2,...,9 as v0,v1,v2,...,v9, where each v0,v1,...,v9 has dimension (1,256).
I would like to calculate the euclidean difference between all the 2006 sample and v0,v1,v2,...,v9 in order to make classification.
In order to do that I have to take the difference between features and v0,v1,v2,...,v9 for each sample.For example for sample 1 I have to take the difference of 256 features with v0, then with v1 etc. and then find the min difference.
I define ListV=[v0,v1,v2,...,v9]
and my code is
diff=
ListV=[v0,v1,v2,v3,v4,v5,v6,v7,v8,v9]
for j in range(0,10):
i=np.where(y==j)
for k in range(0,len(i[0][:])):
for l in range(0,9-j):
diff.append(distance.euclidean(ListV[j+l],data[i[0][k],:]))
but this code leaves out many euclidean differences.
I would like some help in order to fix that and find all the differences.
python python-3.x
python python-3.x
edited Nov 10 '18 at 15:25
rinkert
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
edited Nov 10 '18 at 15:25
rinkert
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
edited Nov 10 '18 at 15:25
rinkert
1,394417
edited Nov 10 '18 at 15:25
rinkert
1,394417
edited Nov 10 '18 at 15:25
rinkert
1,394417
1,394417
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
asked Nov 10 '18 at 15:19
G1I2AG1I2A
62
62
add a comment |
add a comment |
1 Answer
1
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oldest
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This problem occurred for me once. On that case I had null data in my data-set, be sure your data have defined and real values.
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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oldest
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active
oldest
votes
This problem occurred for me once. On that case I had null data in my data-set, be sure your data have defined and real values.
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
add a comment |
This problem occurred for me once. On that case I had null data in my data-set, be sure your data have defined and real values.
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
add a comment |
This problem occurred for me once. On that case I had null data in my data-set, be sure your data have defined and real values.
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
This problem occurred for me once. On that case I had null data in my data-set, be sure your data have defined and real values.
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
answered Nov 10 '18 at 15:36
saeed heidarisaeed heidari
1644
1644
add a comment |
add a comment |
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