example.gmm

来自「一个关于数据聚类和模式识别的程序,在生物化学,化学中因该都可以用到.希望对大家有」· GMM 代码 · 共 51 行

<comment>
Put your comments here!
<version>
1.0
<gmmType>
1
<name>
ふ甧岸#1
<dim>
12
<mixNum>
32
<mean>
-1.094932e+004 1.228092e+003 -1.255018e+004 -2.661390e+003 2.475230e+003 1.176194e+004 -5.306272e+003 -2.049606e+003 -5.614203e+003 2.330625e+003 8.081391e+002 1.482544e+003 
-7.162679e+003 2.970238e+003 -4.165058e+003 2.775605e+003 -5.690178e+003 -1.126862e+003 -6.408958e+003 -8.575597e+003 -7.975790e+003 1.045146e+003 -1.930635e+003 -2.863939e+003 
-1.021288e+004 3.677971e+003 -3.618181e+003 1.462029e+003 -3.311951e+003 -3.213078e+003 -1.412961e+004 -3.437211e+003 -6.014081e+003 -8.379074e+002 -3.331973e+003 -1.107287e+003 
-1.224428e+004 5.801409e+003 3.881658e+003 -6.263807e+002 -9.917042e+003 3.659334e+002 -1.009922e+004 -5.808387e+003 -1.013840e+004 -3.616093e+003 -4.047008e+003 1.307956e+003 
-3.673129e+003 8.441875e+003 -1.098232e+004 -8.685196e+003 -1.016476e+004 3.187945e+003 -8.610557e+003 2.668502e+003 -1.166258e+004 -4.036868e+003 -4.179253e+003 -7.719750e+002 
-1.032726e+004 6.188304e+003 -1.721525e+003 -2.686671e+003 -1.371430e+004 4.728586e+003 -7.088933e+003 -6.851565e+003 -1.165989e+004 4.052855e+003 -2.083669e+003 -2.424976e+003 
-5.582202e+003 -1.869390e+001 -5.939775e+003 1.568310e+003 -9.732267e+003 -4.169501e+002 7.272401e+002 -1.316612e+004 -6.285154e+003 2.513868e+003 -3.133658e+003 -2.893038e+003 
-1.069123e+004 8.502175e+002 1.165395e+003 1.661392e+003 -1.348265e+004 -8.449140e+003 -8.502079e+003 -3.874236e+003 -9.105117e+003 -3.906164e+003 4.800877e+002 3.735218e+003 
-1.043904e+004 4.847900e+003 -3.136951e+003 3.284400e+003 -9.192082e+003 2.488312e+002 -1.354590e+004 -1.154891e+004 8.090104e+002 -1.074305e+004 -1.002912e+004 5.096740e+003 
-1.226188e+004 3.500874e+003 3.990068e+003 -2.401227e+003 -1.589782e+004 -2.594235e+003 -7.281436e+003 -4.784366e+003 -5.043198e+003 3.652071e+003 -9.810718e+002 3.535132e+003 
-9.622129e+003 4.609548e+003 -2.240356e+002 -1.842047e+003 -5.247900e+003 -2.241743e+003 -2.207748e+004 -1.651278e+003 -4.946231e+003 -4.824240e+003 -1.159432e+004 7.455367e+003 
-1.254817e+004 8.767478e+003 4.189058e+003 -4.372772e+003 -5.618100e+003 3.931914e+003 -1.347849e+004 -1.181559e+003 -1.096694e+004 -1.908661e+003 -4.707343e+003 1.733892e+003 
-1.090063e+004 5.612709e+003 -9.229849e+002 3.185948e+002 -1.434199e+004 3.614225e+003 -5.706347e+003 -4.018519e+003 -2.286475e+003 7.997814e+003 -7.815189e+002 2.862257e+003 
-6.824656e+003 2.691336e+003 -1.196161e+004 -3.096360e+003 -6.053090e+003 -5.171071e+002 -1.256550e+004 -6.023924e+002 -6.452517e+003 6.134040e+003 3.952397e+002 -8.355822e+003 
-1.277277e+004 1.778731e+002 -6.452474e+003 3.838927e+002 -4.424428e+003 -1.090877e+003 -5.944613e+003 -1.207634e+003 -3.921159e+003 3.402140e+002 3.708246e+002 1.454887e+003 
-1.654403e+004 5.157943e+003 -5.776482e+003 -4.079888e+003 3.629044e+003 2.707859e+003 -1.149432e+004 5.313740e+003 -1.368687e+003 1.563411e+002 2.294533e+002 -2.062253e+003 
-7.969081e+003 -1.939315e+003 -1.330302e+004 -5.437829e+003 -2.398152e+003 1.464664e+003 -7.091312e+003 3.622844e+001 2.736559e+003 6.329315e+003 -9.008102e+003 -4.853659e+003 
-1.279442e+004 2.197999e+003 -8.778336e+003 1.418935e+003 -5.086280e+003 3.772861e+003 -5.708225e+003 -2.758316e+002 -5.710149e+002 1.770975e+003 -1.045808e+003 3.701597e+002 
-1.786167e+004 1.354995e+003 -5.116228e+003 -9.704314e+002 -1.232717e+003 4.196497e+003 -8.103454e+003 8.476013e+002 3.853738e+003 -2.707658e+003 -1.494018e+003 1.833535e+003 
-7.965161e+003 6.942490e+002 -7.735445e+003 -2.194385e+003 -5.834819e+003 -3.239218e+003 -1.332733e+004 -7.712521e+003 1.445154e+003 3.420634e+003 -3.996207e+003 1.759839e+002 
-1.036629e+004 1.863661e+003 -1.303221e+003 7.565684e+002 -1.770777e+004 -4.834791e+002 1.093997e+003 1.762540e+003 -6.922190e+003 2.196624e+003 2.042070e+003 1.738538e+003 
-1.006198e+004 4.146432e+003 -9.438951e+002 1.002844e+004 -1.615755e+004 -3.255848e+003 -5.296213e+003 -3.575151e+003 -1.815369e+004 -5.401521e+003 3.508801e+003 -1.847919e+003 
-8.420305e+003 1.062944e+002 -4.102181e+003 9.390299e+001 -1.394265e+004 -5.546429e+003 -7.449655e+003 2.524477e+003 -4.025446e+003 -1.161206e+003 -1.637059e+003 3.832491e+003 
-8.403458e+003 -6.825623e+002 -7.219641e+003 -2.830242e+003 -7.931305e+003 -3.811951e+003 -9.318226e+003 8.144688e+002 3.777450e+003 2.653896e+003 -9.157312e+003 3.243526e+003 
-7.878511e+003 1.226985e+002 -6.865650e+003 -6.402340e+003 -4.371892e+003 -5.523800e+003 -1.811220e+004 2.315978e+003 -8.531242e+002 4.732013e+003 -7.560306e+003 -1.008374e+003 
-6.790491e+003 4.671124e+002 -1.020017e+004 -7.574578e+003 -2.873346e+003 6.065486e+002 -1.626189e+004 -6.989559e+003 -1.939936e+003 9.340082e+003 -1.422419e+003 -1.912357e+003 
-5.353914e+003 -1.455948e+003 -7.867292e+003 -2.645371e+003 -5.285890e+003 -1.297993e+003 1.761723e+002 -6.005909e+003 -7.020152e+003 3.856225e+003 -2.644657e+003 -5.536297e+003 
-7.443908e+003 -2.874306e+003 -1.405262e+004 -6.687293e+003 -2.644864e+003 4.919892e+003 -2.342414e+003 -3.731816e+003 -2.312391e+003 6.506112e+003 -3.111957e+003 -7.940624e+003 
-5.666148e+003 2.004307e+003 -1.416123e+004 -7.631724e+003 -6.196030e+003 7.291722e+003 -4.830227e+002 -2.762707e+003 -7.765160e+003 3.746042e+002 -2.442195e+002 5.895873e+002 
-4.817519e+003 1.850410e+003 -1.061528e+004 -1.103166e+004 -5.880056e+003 6.512089e+003 -1.107576e+004 -1.335553e+004 -3.323267e+003 4.901337e+003 -1.634949e+003 2.709504e+003 
-5.212566e+003 4.379347e+003 -1.133428e+004 -8.345324e+003 -4.051932e+003 6.071576e+003 -1.349979e+004 -8.940234e+003 -9.368063e+003 5.442303e+003 4.170332e+003 4.767603e+003 
-4.237650e+003 5.123970e+003 -1.192993e+004 -1.466877e+004 -8.146204e+003 7.972536e+003 -8.279251e+003 -6.185430e+003 -1.120278e+004 -9.383808e+002 1.318348e+002 6.897678e+003 
<covariance>
1.726307e+007 7.980923e+006 1.657902e+007 1.044702e+007 4.848995e+006 1.116578e+007 6.486714e+006 1.083866e+007 7.128090e+006 6.543456e+006 8.012630e+006 8.237732e+006 6.300985e+006 8.952152e+006 6.714499e+006 1.359985e+007 1.137652e+007 1.852055e+007 1.012379e+007 1.125530e+007 4.885147e+006 8.182514e+006 6.099823e+006 1.001833e+007 5.699186e+006 8.111117e+006 5.612946e+006 8.506748e+006 1.069790e+007 7.918758e+006 9.097561e+006 8.625007e+006 
<weight>
1.571725e-002 3.339113e-002 4.136778e-002 4.550897e-002 9.127864e-003 2.503112e-002 4.847657e-002 1.803522e-002 6.499253e-003 1.154044e-002 1.093848e-002 5.894229e-002 7.449466e-003 2.469114e-002 9.591883e-002 4.970166e-002 4.005542e-002 7.538808e-002 6.244999e-002 3.418840e-002 5.893789e-003 1.743489e-002 1.584150e-002 2.122414e-002 1.512273e-002 4.479162e-002 2.859613e-002 4.234874e-002 3.741300e-002 2.151145e-002 1.794477e-002 1.745790e-002 
<gConst>
2.220235e+002 2.127653e+002 2.215383e+002 2.159965e+002 2.067859e+002 2.167949e+002 2.102777e+002 2.164381e+002 2.114092e+002 2.103822e+002 2.128129e+002 2.131454e+002 2.099291e+002 2.141434e+002 2.106919e+002 2.191614e+002 2.170193e+002 2.228672e+002 2.156193e+002 2.168907e+002 2.068750e+002 2.130646e+002 2.095398e+002 2.154936e+002 2.087245e+002 2.129595e+002 2.085416e+002 2.135310e+002 2.162812e+002 2.126715e+002 2.143367e+002 2.136966e+002