作者查詢 / onionsteven
作者 onionsteven 在 PTT [ Statistics ] 看板的留言(推文), 共52則
限定看板:Statistics
看板排序:
全部NCHU-AGR02747model581Militarylife502StarCraft446STREET_BALL416DIABLO263BLEACH222NCHUAGRMENBK217basketball211Beauty202Hunter157GUNDAM154NCHU-AGR03120StupidClown109CLAMP100NCHU-AGR0481NARUTO75NBA_Film61ArakawaCow56NBA53Statistics52humanity50KERORO43Gossiping41kachaball40BBSmovie33NCHU-AGR0630Goddess29KenAkamatsu28AGR-GRADUATE22NCHU-AGR0522NCHU-AGR0722Kawashita21PHX-Suns18Evangelion17Oh-GREAT14BASKET-RULES13Chan_Mou13RumikoTWorld13Japandrama12NCHU-AGR0112AT_BASKET11GRE10NCHUAGRONOMY10R_Language10Gash9ANZAI8HDFS_Bball8joke8Toy7TypeMoon7ENG_BASKET6KenShin6Comic5FJU-ACCR945maev-basket5SUZUKA5WarHammer5WOW5YUGIOH5BoardGame4ISUEE93A4Key_Mou_Pad4LawBasketbal4RSSH94_3034SCU_Talk4TA_AN4TuTsau4bicycle3CIVIL-Team3CSMU-BASKET3CSNT-BASKET3CYCUEL95A3EthnosSport3Gamesale3Jeremy_Lin3KS94-3023NCHU-AGR083NCHU-AGR093NDMC-BoyBall3NDMC-guitar3NTNU-HISBK3NTPU-COECOBA3ONE_PIECE3PVC-GK3studyabroad3UTAH-JAZZ3Aquarium2C_Chat2Celtics2cjjhs3272ck58th3022CSMU_MIR_BSK2Food2HarukiMuraka2Hate2HLHS_10thU2Kindaichi_Q2KS98-3022L_RelaxEnjoy2LineageII2LinkinPark2mknoheya2NCCUStatDunk2NCHUAGR_GBK2NDHU-EE932NDHU-His_MB2NTHU_STAT942NTPU-ECON90A2NTPU-LAND90B2NTUCL-BASKET2NTUE-ME942PCSH91_3052PhD2PSY-BSKT2RTS2Spurs2SteveNash132tale2Timberwolves2TTU-I90B2USC2AC_In1AGRO-Soccer1AOE1Army-Sir1army_58-1T1ASHS-94-ye1BlackDesert1BLAZERS1Boy-Girl1Cavaliers1chatskill1ChungLi1ck53rd3291ck54th3321ck55th3141ck56th3311ck57th3201CPU_PA7311CSIE_BASKET1CSMU-AC-BK1CSMU-D-BSK1CSMU-FC1CSMU-LS891CSMU-MED941CSMU-MTBB1CyberFormula1DeathNote1DiabloEX1DIP_BASKET1DragonBall1EarthScience1Eason1Ecophilia1esahc1FCU-PF20061fightforland1FJU1FJU-ACC90a1FJU-ACC94b1FJU-EE-2004B1FJU_ADBA1FJU_OT2nd1FSHS-95-3071FuMouDiscuss1G-Basketball1Geography1Hamster1HardwareSale1Hearthstone1hikarugo1HIS_Basket1HSNU_10021HSNU_10981HSNU_9471HSNU_9611interdreams1Isayama1Kaohsiung1kawaii1kodomo1kotaro1KS92-3171KS93-3161KS94-3081KS94-3201KS95-2061KS95-3171Lakers1LAND_BASKET1LawPingPong1Mavericks1MiamiHeat1MP1NANLIN3011NBAGAME1NCCU_C-Baske1NCCU_trans1NCCU_Volley1NCCUPA_Baske1NCHU-AGR-VB1NCHU-AGR101NCHU-AGR991NCTU-AM901NCYU_Fst_991NDHU-ChBT1NDHU-Phy-Bkt1NDMC-M1031NDMC-PH231NDMC-PH241NEHS19th41Nets1NKNU_OECE971NTOU-MME-99B1NTPU-ACC901NTPU-STATM951NTU-HTbasket1NTUBSE-B-951NTUE-CS981NTUE-EPC-981NTUEE_LAB5261NTUEE_POWER1NTUEP1NTUGIEE_RFIC1NTUHistory901NTUMEB951NTUMRC1NTUMT-891NYUST98_FING1Orl-Magic1Pelicans1PeopleSeries1Pistons1PttHistory1RealPlaying1Rockets1Rozen_Maiden1RSSH94_3061sex1SIVS1SlamDunk1Slayers1SMSlife1Soci_Basket1SportLottery1swim1SWORD1TFG40thHG41TFSHS66th3181THUIM-5th1Transport941TTU-AMath1TY_Research1tyart1vetbasket1Yabuki1YH33rd3191YP94-3061YuiAragaki1<< 收起看板(260)
7F推: 群集分析通常目的是區分吧? 兩群分的越開越好 但分出02/09 08:42
8F→: 來的結果是不是適當要另外評估 因素分析起碼分出來02/09 08:43
9F→: 因素分析還可以避免共線性的問題02/09 08:47
16F噓: 這要看1的實務是在哪種領域了 醫學或科學看圖嘛....11/06 20:03
1F推: 一般情況是兩者都要考慮吧 藉由與測試集比較 找出不07/21 21:25
2F→: 過度配式之下 訓練集正確率最高的模式07/21 21:25
1F推: https://goo.gl/nNJU8e10/18 17:47
2F→: 不熟SPSS 不過圖一好像是關聯性分析10/18 17:47
3F→: 這不是捉放法嗎 高中生物應該有...07/19 12:38
1F推: 也是淺見:把資料做了類別轉換 喪失了部分資訊 所以09/04 17:19
2F→: 檢定結果變成不顯著09/04 17:20
1F推: 淺見:模式一個 只有A有的資料不放入09/04 17:17
8F推: 類別資料分析的教科書有 OR RR的部分08/22 15:49
1F推: 只用"線性"兩個字來描述好像不太好 容易混淆08/20 15:33
2F→: 有些"線性"指的是 只要 一對一函數就算是線性08/20 15:34
21F→:你上面的推文就是....04/08 18:05