K-均值聚类(K-means clustering)是Mac Queen提出的一种非监督实时聚类算法,在最小化误差函数的基础上将数据划分为预定的类数K
资源文件列表
easy_GPS/11282621.12C , 10167
easy_GPS/1128262C.12O , 1538907
easy_GPS/11362621.12C , 8199
easy_GPS/1136262C.12O , 1538769
easy_GPS/BANDW.M , 299
easy_GPS/BDATA.DAT , 76832
easy_GPS/B_POINT.M , 1953
easy_GPS/EDATARTK.DAT , 8568
easy_GPS/EPH.DAT , 2016
easy_GPS/EPHK.DAT , 1680
easy_GPS/FINDPIV.M , 438
easy_GPS/FRGEOD.M , 1129
easy_GPS/KLEUS.M , 1382
easy_GPS/K_POINT.M , 3750
easy_GPS/K_UD.M , 369
easy_GPS/PLU.M , 1459
easy_GPS/RECPOS.M , 3483
easy_GPS/RECPOS23.M , 10931
easy_GPS/RECPOS_S.M , 10588
easy_GPS/RRELFIX.M , 963
easy_GPS/SDATA.DAT , 16
easy_GPS/SITE247J.01N , 5154
easy_GPS/SITE247J.01O , 22418
easy_GPS/SITE24~1.01O , 22468
easy_GPS/SLU.M , 711
easy_GPS/TESTLAM.M , 622
easy_GPS/TOPO_ENU.M , 745
easy_GPS/UNIAMB.M , 1182
easy_GPS/UNIDECOR.M , 3962
easy_GPS/WRITEMAT.M , 1400
easy_GPS/anheader.m , 1656
easy_GPS/baseline.m , 2538
easy_GPS/check_t.m , 293
easy_GPS/chistart.m , 3783
easy_GPS/decorrel.m , 3507
easy_GPS/e_r_corr.m , 482
easy_GPS/easy1.m , 595
easy_GPS/easy2.m , 1416
easy_GPS/easy3.eps , 28891
easy_GPS/easy3.m , 2685
easy_GPS/easy4.m , 5514
easy_GPS/easy4_1.eps , 24824
easy_GPS/easy4_2.eps , 27834
easy_GPS/easy5.m , 12975
easy_GPS/easy6.m , 9981
easy_GPS/fepoch_0.m , 3225
easy_GPS/find_eph.m , 765
easy_GPS/fobs_typ.m , 310
easy_GPS/get_eph.m , 686
easy_GPS/get_rho.m , 1879
easy_GPS/gps_time.m , 745
easy_GPS/grabdata.m , 1530
easy_GPS/julday.m , 719
easy_GPS/julday_YMD.m , 284
easy_GPS/lambda.m , 4594
easy_GPS/ldldecom.m , 1294
easy_GPS/lsearch.m , 5415
easy_GPS/recpo_ls.m , 4255
easy_GPS/rinexe.m , 4064
easy_GPS/satpos.m , 1995
easy_GPS/satpos_BD.m , 2655
easy_GPS/togeod.m , 2443
easy_GPS/topocent.m , 1464
easy_GPS/tropo.m , 2750
easy_GPS/xyz2enu.m , 647