Qhov sib txawv tseem ceeb ntawm kev sib koom ua ke thiab kev faib tawm yog qhov kev sib koom ua ke yog cov txheej txheem kev kawm tsis muaj kev saib xyuas uas pab pawg cov xwm txheej zoo sib xws los ntawm cov yam ntxwv thaum kev faib tawm yog cov txheej txheem kev saib xyuas uas muab cov cim npe ua ntej rau cov piv txwv raws li cov yam ntxwv.
Txawm hais tias pawg thiab kev faib tawm zoo li cov txheej txheem zoo sib xws, muaj qhov sib txawv ntawm lawv raws li lawv lub ntsiab lus. Hauv ntiaj teb kev tshawb nrhiav cov ntaub ntawv, kev sib koom ua ke thiab kev faib tawm yog ob hom kev kawm. Ob txoj kev no qhia cov khoom rau hauv pawg los ntawm ib lossis ntau qhov nta.
Clustering yog dab tsi?
Clustering yog ib txoj hauv kev muab cov khoom sib xyaw ua ke uas cov khoom uas muaj cov yam ntxwv zoo sib xws tuaj ua ke, thiab cov khoom uas muaj qhov sib txawv sib txawv. Nws yog ib qho txheej txheem rau kev txheeb xyuas cov ntaub ntawv txheeb xyuas rau kev kawm tshuab thiab cov ntaub ntawv mining. Tshawb nrhiav cov ntaub ntawv txheeb xyuas thiab kev nthuav dav kuj yog thaj chaw uas siv pawg.
Daim duab 01: Clustering
Clustering belongs rau unsupervised data mining. Nws tsis yog ib qho tshwj xeeb algorithm, tab sis nws yog ib txoj hauv kev los daws cov haujlwm. Yog li ntawd, nws muaj peev xwm ua tiav pawg siv ntau yam algorithms. Qhov tsim nyog pawg algorithm thiab parameter nqis nyob ntawm tus kheej cov ntaub ntawv teev. Nws tsis yog ib txoj haujlwm tsis siv neeg, tab sis nws yog ib qho txheej txheem ntawm kev tshawb pom. Yog li ntawd, nws yog ib qho tsim nyog los hloov cov ntaub ntawv ua thiab parameter qauv kom txog rau thaum qhov tshwm sim ua tiav cov khoom xav tau. K-txhais tau tias pawg thiab Hierarchical pawg yog ob qho kev sib koom ua ke algorithms hauv cov ntaub ntawv mining.
Dab tsi yog Classification?
Kev faib ua pawg yog txheej txheem categorization uas siv cov txheej txheem kev cob qhia kom paub, sib txawv thiab nkag siab cov khoom. Kev faib tawm yog kev saib xyuas kev kawm uas muaj kev cob qhia thiab kev soj ntsuam kom raug.
Daim duab 02: Kev faib tawm
Cov algorithm uas siv kev faib tawm yog cov cais tawm thaum qhov kev soj ntsuam yog qhov piv txwv. K-Nearest Neighbor algorithm thiab kev txiav txim siab ntoo algorithms yog cov npe nrov tshaj plaws kev faib tawm algorithms hauv cov ntaub ntawv mining.
Dab tsi yog qhov sib txawv ntawm pawg thiab kev faib tawm?
Clustering is unsupervised learning while Classification is a supervised learning technique. Nws pab pawg zoo sib xws raws li cov yam ntxwv thaum kev faib tawm muab cov cim npe ua ntej rau cov xwm txheej raws li cov yam ntxwv. Clustering faib cov dataset rau hauv subsets los pab pawg ua ke nrog cov yam ntxwv zoo sib xws. Nws tsis siv cov ntaub ntawv sau npe lossis cov txheej txheem kev cob qhia. Ntawm qhov tod tes, categorize cov ntaub ntawv tshiab raws li kev soj ntsuam ntawm cov txheej txheem kev cob qhia. Cov txheej txheem kev cob qhia yog sau npe.
Lub hom phiaj ntawm kev sib koom ua ke yog txhawm rau pab pawg ntawm cov khoom los nrhiav seb puas muaj kev sib raug zoo ntawm lawv, qhov kev faib tawm lub hom phiaj kom pom cov chav kawm twg cov khoom tshiab yog los ntawm cov chav kawm ua ntej.
Summary – Clustering vs Classification
Kev sib faib thiab kev faib tawm tuaj yeem zoo sib xws vim tias ob qho tib si cov ntaub ntawv mining algorithms faib cov ntaub ntawv teev rau hauv cov subsets, tab sis lawv yog ob txoj kev kawm sib txawv, hauv cov ntaub ntawv mining kom tau txais cov ntaub ntawv txhim khu kev qha los ntawm cov ntaub ntawv nyoos. Qhov sib txawv ntawm kev sib koom ua ke thiab kev faib tawm yog qhov kev sib koom ua ke yog cov txheej txheem kev kawm tsis muaj kev saib xyuas uas pab pawg cov xwm txheej zoo sib xws los ntawm cov yam ntxwv thaum kev faib tawm yog cov txheej txheem kev saib xyuas kev kawm uas muab cov cim npe ua ntej rau cov piv txwv raws li cov yam ntxwv.
Image Courtesy:
1 "Cluster-2" los ntawm Cluster-2.gif: hellisp derivative ua haujlwm: (Public Domain) ntawm Wikimedia Commons 2 "Magnetism" los ntawm John Aplessed - Tus kheej ua haujlwm. (Public Domain) ntawm Wikimedia Commons
