d3
BIN
D3/TP/TP_SETI_MLP/Confusion.jpg
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After Width: | Height: | Size: 58 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_01.jpg
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BIN
D3/TP/TP_SETI_MLP/Model_02.jpg
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After Width: | Height: | Size: 73 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_03.jpg
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BIN
D3/TP/TP_SETI_MLP/Model_04.jpg
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After Width: | Height: | Size: 77 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_05.jpg
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After Width: | Height: | Size: 74 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_06.jpg
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After Width: | Height: | Size: 74 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_07.jpg
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After Width: | Height: | Size: 73 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_08.jpg
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After Width: | Height: | Size: 73 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_09.jpg
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After Width: | Height: | Size: 74 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_10.jpg
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After Width: | Height: | Size: 65 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_11.jpg
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After Width: | Height: | Size: 76 KiB |
BIN
D3/TP/TP_SETI_MLP/Model_12.jpg
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After Width: | Height: | Size: 75 KiB |
BIN
D3/TP/TP_SETI_MLP/Profil_Err_App_Test.jpg
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After Width: | Height: | Size: 59 KiB |
1313
D3/TP/TP_SETI_MLP/TP2.ipynb
Normal file
BIN
D3/TP/TP_SETI_MLP/TP_SETI_2022-2023_MLP.pdf
Normal file
201
D3/TP/TP_SETI_MLP/sinc_dim2_input.csv
Normal file
|
@ -0,0 +1,201 @@
|
|||
x1;x2
|
||||
0.0625;0.0775
|
||||
0.3475;0.1425
|
||||
0.8325;0.5825
|
||||
0.1025;0.8875
|
||||
0.5225;0.1525
|
||||
0.2575;0.5425
|
||||
0.1975;0.1725
|
||||
0.9425;0.6125
|
||||
0.9725;0.6025
|
||||
0.3025;0.0625
|
||||
0.6775;0.9175
|
||||
0.9825;0.8025
|
||||
0.7625;0.5225
|
||||
0.2175;0.9325
|
||||
0.6075;0.6375
|
||||
0.5025;0.1475
|
||||
0.9175;0.8625
|
||||
0.7975;0.4925
|
||||
0.7275;0.2225
|
||||
0.9775;0.7525
|
||||
0.5475;0.0075
|
||||
0.5875;0.1775
|
||||
0.1475;0.2575
|
||||
0.0975;0.3275
|
||||
0.8125;0.3775
|
||||
0.7575;0.3325
|
||||
0.6925;0.6625
|
||||
0.0925;0.2925
|
||||
0.7425;0.0225
|
||||
0.1275;0.3825
|
||||
0.5625;0.0925
|
||||
0.1075;0.9375
|
||||
0.1675;0.3975
|
||||
0.7525;0.1625
|
||||
0.2925;0.1375
|
||||
0.3775;0.2275
|
||||
0.9875;0.6425
|
||||
0.8375;0.6075
|
||||
0.3175;0.0275
|
||||
0.4575;0.6475
|
||||
0.4225;0.0475
|
||||
0.4625;0.5925
|
||||
0.7075;0.8325
|
||||
0.0575;0.3225
|
||||
0.6675;0.1325
|
||||
0.3575;0.9425
|
||||
0.5275;0.3925
|
||||
0.2875;0.0525
|
||||
0.6575;0.0675
|
||||
0.9325;0.7925
|
||||
0.5425;0.8575
|
||||
0.3075;0.1975
|
||||
0.9625;0.2675
|
||||
0.9575;0.0425
|
||||
0.5525;0.2725
|
||||
0.2825;0.0725
|
||||
0.7825;0.4825
|
||||
0.7125;0.3875
|
||||
0.4125;0.4125
|
||||
0.2375;0.7275
|
||||
0.4975;0.8975
|
||||
0.4525;0.1925
|
||||
0.3625;0.2775
|
||||
0.5975;0.3725
|
||||
0.6825;0.3425
|
||||
0.3275;0.5475
|
||||
0.4425;0.0975
|
||||
0.8225;0.0875
|
||||
0.9275;0.6575
|
||||
0.2225;0.7375
|
||||
0.0525;0.6975
|
||||
0.6175;0.9775
|
||||
0.8475;0.8425
|
||||
0.9125;0.6225
|
||||
0.5375;0.8225
|
||||
0.1125;0.2325
|
||||
0.1575;0.2975
|
||||
0.7875;0.9275
|
||||
0.5125;0.2075
|
||||
0.0075;0.5025
|
||||
0.5925;0.5625
|
||||
0.8275;0.0375
|
||||
0.2425;0.5125
|
||||
0.7675;0.3025
|
||||
0.6125;0.9625
|
||||
0.4175;0.9225
|
||||
0.0275;0.6325
|
||||
0.7175;0.0325
|
||||
0.4825;0.4375
|
||||
0.2675;0.2125
|
||||
0.8975;0.0575
|
||||
0.0325;0.7625
|
||||
0.3925;0.2025
|
||||
0.3675;0.9975
|
||||
0.0175;0.3075
|
||||
0.2475;0.1225
|
||||
0.4025;0.0825
|
||||
0.6625;0.9575
|
||||
0.6325;0.1675
|
||||
0.1425;0.3375
|
||||
0.9075;0.8275
|
||||
0.2625;0.0125
|
||||
0.7325;0.2425
|
||||
0.8025;0.2175
|
||||
0.7925;0.8175
|
||||
0.5175;0.8675
|
||||
0.1875;0.3125
|
||||
0.3425;0.0175
|
||||
0.4275;0.7675
|
||||
0.2275;0.4025
|
||||
0.4775;0.6875
|
||||
0.9375;0.9675
|
||||
0.5675;0.5075
|
||||
0.6425;0.3625
|
||||
0.0425;0.2625
|
||||
0.6225;0.6775
|
||||
0.0025;0.1875
|
||||
0.5075;0.7025
|
||||
0.8525;0.4575
|
||||
0.1725;0.2875
|
||||
0.6725;0.3175
|
||||
0.3125;0.4675
|
||||
0.1775;0.5375
|
||||
0.8825;0.7475
|
||||
0.8775;0.7075
|
||||
0.6025;0.9475
|
||||
0.5575;0.6825
|
||||
0.9675;0.5575
|
||||
0.2975;0.1075
|
||||
0.3325;0.7975
|
||||
0.8575;0.9825
|
||||
0.6375;0.4875
|
||||
0.8625;0.6525
|
||||
0.4675;0.9125
|
||||
0.2725;0.7775
|
||||
0.6525;0.7575
|
||||
0.2075;0.3575
|
||||
0.1925;0.6925
|
||||
0.0125;0.4325
|
||||
0.3975;0.4225
|
||||
0.5725;0.1575
|
||||
0.9025;0.8375
|
||||
0.3375;0.9925
|
||||
0.1825;0.1025
|
||||
0.5775;0.1125
|
||||
0.7775;0.3525
|
||||
0.7375;0.6675
|
||||
0.9525;0.2825
|
||||
0.7475;0.7125
|
||||
0.6475;0.7825
|
||||
0.7225;0.4475
|
||||
0.8925;0.3475
|
||||
0.3725;0.9875
|
||||
0.3225;0.8125
|
||||
0.6275;0.6725
|
||||
0.5825;0.7225
|
||||
0.1375;0.7425
|
||||
0.8075;0.5675
|
||||
0.3875;0.8475
|
||||
0.8675;0.5775
|
||||
0.0825;0.4625
|
||||
0.0875;0.7325
|
||||
0.9975;0.4975
|
||||
0.2525;0.5325
|
||||
0.9925;0.3675
|
||||
0.8875;0.9725
|
||||
0.2325;0.0025
|
||||
0.4875;0.4725
|
||||
0.6875;0.7725
|
||||
0.4725;0.1825
|
||||
0.8425;0.7875
|
||||
0.4925;0.1275
|
||||
0.2125;0.5975
|
||||
0.4075;0.8525
|
||||
0.0675;0.4525
|
||||
0.1225;0.5525
|
||||
0.4325;0.6275
|
||||
0.0775;0.2525
|
||||
0.2775;0.4175
|
||||
0.0375;0.8825
|
||||
0.9475;0.8775
|
||||
0.8175;0.7175
|
||||
0.6975;0.9075
|
||||
0.3525;0.8925
|
||||
0.5325;0.4775
|
||||
0.1175;0.9525
|
||||
0.3825;0.5725
|
||||
0.4475;0.9025
|
||||
0.0225;0.2475
|
||||
0.1325;0.4425
|
||||
0.0475;0.4275
|
||||
0.8725;0.6175
|
||||
0.9225;0.8725
|
||||
0.1625;0.5875
|
||||
0.7025;0.8075
|
||||
0.7725;0.5275
|
||||
0.4375;0.5175
|
||||
0.1525;0.4075
|
||||
0.0725;0.2375
|
||||
0.2025;0.1175
|
|
30
D3/TP/TP_SETI_MLP/test.ipynb
Normal file
|
@ -0,0 +1,30 @@
|
|||
{
|
||||
"cells": [],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3.8.10 64-bit",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.10"
|
||||
},
|
||||
"orig_nbformat": 4,
|
||||
"vscode": {
|
||||
"interpreter": {
|
||||
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
|
@ -1,94 +0,0 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"import numpy as np\n",
|
||||
"import scipy.spatial"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"clusters = 3\n",
|
||||
"mean = np.random.randint(5, size=clusters)\n",
|
||||
"sd = [0.25, 0.25, 0.3]\n",
|
||||
"dim = 2\n",
|
||||
"nb = 50\n",
|
||||
"K= clusters"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def gen_points(mean=1,sd=0.5, nb=100, dim=2, clusters=2):\n",
|
||||
" size = []\n",
|
||||
" # for i in range(0,dim):\n",
|
||||
" size.append(nb)\n",
|
||||
" size.append(dim)\n",
|
||||
" points = np.random.normal(mean[0],sd[0],size=size)\n",
|
||||
" for i in range(1,clusters):\n",
|
||||
" points = np.concatenate((points,np.random.normal(mean[i],sd[i],size=size)),axis=0)\n",
|
||||
" \n",
|
||||
" return points"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def distance(points,Pc): \n",
|
||||
" return scipy.spatial.distance.cdist(points[:,:], Pc[:,:])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"points = gen_points(mean,sd,nb,dim,clusters)\n",
|
||||
"dist = distance(points,points)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3.8.10 64-bit",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.10"
|
||||
},
|
||||
"orig_nbformat": 4,
|
||||
"vscode": {
|
||||
"interpreter": {
|
||||
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|