Matlab利用plot绘制正负样本散点图来分析数据
data在.txt文件中内容如下：
data=34.6236596245170 78.0246928153624 030.2867107682261 43.8949975240010 035.8474087699387 72.9021980270836 060.1825993862098 86.3085520954683 179.0327360507101 75.3443764369103 145.0832774766834 56.3163717815305 061.1066645368477 96.5114258848962 175.0247455673889 46.5540135411654 176.0987867022626 87.4205697192680 184.4328199612004 43.5333933107211 195.8615550709357 38.2252780579509 075.0136583895825 30.6032632342801 082.3070533739948 76.4819633023560 169.3645887597094 97.7186919618861 139.5383391436722 76.0368108511588 053.9710521485623 89.2073501375021 169.0701440628303 52.7404697301677 167.9468554771162 46.6785741067313 070.6615095549944 92.9271378936483 176.9787837274750 47.5759636497553 167.3720275457088 42.8384383202918 089.6767757507208 65.7993659274524 150.5347882898830 48.8558115276421 034.2120609778679 44.2095285986629 077.9240914545704 68.9723599933059 162.2710136700463 69.9544579544759 180.1901807509566 44.8216289321835 193.1143887974420 38.8006703371321 061.8302060231260 50.2561078924462 038.7858037967942 64.9956809553958 061.3792894474250 72.8078873131710 185.4045193941165 57.0519839762712 152.1079797319398 63.1276237688172 052.0454047683183 69.4328601204522 140.2368937354511 71.1677480218488 054.6351055542482 52.2138858806112 033.9155001090689 98.8694357422061 064.1769888749449 80.9080605867082 174.7892529594154 41.5734152282443 034.1836400264419 75.2377203360134 083.9023936624916 56.3080462160533 151.5477202690618 46.8562902634998 094.4433677691785 65.5689216055905 182.3687537571392 40.6182551597062 051.0477517712887 45.8227014577600 062.2226757612019 52.0609919483668 077.1930349260136 70.4582000018096 197.7715992800023 86.7278223300282 162.0730637966765 96.7688241241398 191.5649744980744 88.6962925454660 179.9448179406693 74.1631193504376 199.2725269292572 60.9990309984499 190.5467141139985 43.3906018065003 134.5245138532001 60.3963424583717 050.2864961189907 49.8045388132306 049.5866772163203 59.8089509945327 097.6456339600777 68.8615727242060 132.5772001680931 95.5985476138788 074.2486913672160 69.8245712265719 171.7964620586338 78.4535622451505 175.3956114656803 85.7599366733162 135.2861128152619 47.0205139472342 056.2538174971162 39.2614725105802 030.0588224466980 49.5929738672369 044.6682617248089 66.4500861455891 066.5608944724295 41.0920980793697 040.4575509837516 97.5351854890994 149.0725632190884 51.8832118207397 080.2795740146700 92.1160608134408 166.7467185694404 60.9913940274099 132.7228330406032 43.3071730643006 064.0393204150601 78.0316880201823 172.3464942257992 96.2275929676140 160.4578857391896 73.0949980975804 158.8409562172680 75.8584483127904 199.8278577969213 72.3692519338389 147.2642691084817 88.4758649955978 150.4581598028599 75.8098595298246 160.4555562927153 42.5084094357222 082.2266615778557 42.7198785371646 088.9138964166533 69.8037888983547 194.8345067243020 45.6943068025075 167.3192574691753 66.5893531774792 157.2387063156986 59.5142819801296 180.3667560017127 90.9601478974695 168.4685217859111 85.5943071045201 142.0754545384731 78.8447860014804 075.4777020053391 90.4245389975396 178.6354243489802 96.6474271688564 152.3480039879411 60.7695052560259 094.0943311251679 77.1591050907389 190.4485509709636 87.5087917648470 155.4821611406959 35.5707034722887 074.4926924184304 84.8451368493014 189.8458067072098 45.3582836109166 183.4891627449824 48.3802857972818 142.2617008099817 87.1038509402546 199.3150088051039 68.7754094720662 155.3400175600370 64.9319380069486 174.7758930009277 89.5298128951328 1把数据存入一个数组中，再拆开保存：
data=load(data.txt);x=data(:, [1,2]);y=data(:, 3);接下来画图：
%找到y的正负样本pos=find(y==1);neg=find(y==0);%画图figure;hold on;plot(x(pos,1),x(pos,2),'k+'); %正样本plot(x(neg,1),x(neg,2),'ko'); %负样本效果如下：
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data=34.6236596245170 78.0246928153624 030.2867107682261 43.8949975240010 035.8474087699387 72.9021980270836 060.1825993862098 86.3085520954683 179.0327360507101 75.3443764369103 145.0832774766834 56.3163717815305 061.1066645368477 96.5114258848962 175.0247455673889 46.5540135411654 176.0987867022626 87.4205697192680 184.4328199612004 43.5333933107211 195.8615550709357 38.2252780579509 075.0136583895825 30.6032632342801 082.3070533739948 76.4819633023560 169.3645887597094 97.7186919618861 139.5383391436722 76.0368108511588 053.9710521485623 89.2073501375021 169.0701440628303 52.7404697301677 167.9468554771162 46.6785741067313 070.6615095549944 92.9271378936483 176.9787837274750 47.5759636497553 167.3720275457088 42.8384383202918 089.6767757507208 65.7993659274524 150.5347882898830 48.8558115276421 034.2120609778679 44.2095285986629 077.9240914545704 68.9723599933059 162.2710136700463 69.9544579544759 180.1901807509566 44.8216289321835 193.1143887974420 38.8006703371321 061.8302060231260 50.2561078924462 038.7858037967942 64.9956809553958 061.3792894474250 72.8078873131710 185.4045193941165 57.0519839762712 152.1079797319398 63.1276237688172 052.0454047683183 69.4328601204522 140.2368937354511 71.1677480218488 054.6351055542482 52.2138858806112 033.9155001090689 98.8694357422061 064.1769888749449 80.9080605867082 174.7892529594154 41.5734152282443 034.1836400264419 75.2377203360134 083.9023936624916 56.3080462160533 151.5477202690618 46.8562902634998 094.4433677691785 65.5689216055905 182.3687537571392 40.6182551597062 051.0477517712887 45.8227014577600 062.2226757612019 52.0609919483668 077.1930349260136 70.4582000018096 197.7715992800023 86.7278223300282 162.0730637966765 96.7688241241398 191.5649744980744 88.6962925454660 179.9448179406693 74.1631193504376 199.2725269292572 60.9990309984499 190.5467141139985 43.3906018065003 134.5245138532001 60.3963424583717 050.2864961189907 49.8045388132306 049.5866772163203 59.8089509945327 097.6456339600777 68.8615727242060 132.5772001680931 95.5985476138788 074.2486913672160 69.8245712265719 171.7964620586338 78.4535622451505 175.3956114656803 85.7599366733162 135.2861128152619 47.0205139472342 056.2538174971162 39.2614725105802 030.0588224466980 49.5929738672369 044.6682617248089 66.4500861455891 066.5608944724295 41.0920980793697 040.4575509837516 97.5351854890994 149.0725632190884 51.8832118207397 080.2795740146700 92.1160608134408 166.7467185694404 60.9913940274099 132.7228330406032 43.3071730643006 064.0393204150601 78.0316880201823 172.3464942257992 96.2275929676140 160.4578857391896 73.0949980975804 158.8409562172680 75.8584483127904 199.8278577969213 72.3692519338389 147.2642691084817 88.4758649955978 150.4581598028599 75.8098595298246 160.4555562927153 42.5084094357222 082.2266615778557 42.7198785371646 088.9138964166533 69.8037888983547 194.8345067243020 45.6943068025075 167.3192574691753 66.5893531774792 157.2387063156986 59.5142819801296 180.3667560017127 90.9601478974695 168.4685217859111 85.5943071045201 142.0754545384731 78.8447860014804 075.4777020053391 90.4245389975396 178.6354243489802 96.6474271688564 152.3480039879411 60.7695052560259 094.0943311251679 77.1591050907389 190.4485509709636 87.5087917648470 155.4821611406959 35.5707034722887 074.4926924184304 84.8451368493014 189.8458067072098 45.3582836109166 183.4891627449824 48.3802857972818 142.2617008099817 87.1038509402546 199.3150088051039 68.7754094720662 155.3400175600370 64.9319380069486 174.7758930009277 89.5298128951328 1把数据存入一个数组中，再拆开保存：
data=load(data.txt);x=data(:, [1,2]);y=data(:, 3);接下来画图：
%找到y的正负样本pos=find(y==1);neg=find(y==0);%画图figure;hold on;plot(x(pos,1),x(pos,2),'k+'); %正样本plot(x(neg,1),x(neg,2),'ko'); %负样本效果如下：
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