K- dafay tekki boole
K-Means algorithm la buñudul saytu, muy tànnal ci saasi ay done ci grupu K ci wut santaru cluster yi.
Résumé
Dafa am solo ndax dafay wane jumtukaay yu nëbbu ci done yuñ etiketewul, dalee ko ci wàllu kiliyaan yi ba ci melo nataal yi.
Plongeur bu xóot
K-Means dafay xaaj done yi ci limu cluster yiñ tànn, K, te amul benn etiket. Dafay tàmbali ci def ay poñ K ñu leen di woowe centroid, ñu faral di def ci anam wu mujjee. Ginaaw loolu mu baamtu ñaari jéego: jox bépp poñ done ci centroid bi gëna jege, ba noppi toxal centroid bu nekk ci position moyenne bu poñ yiñ ko jox. Jéego yooyu dañuy wéy ba liggéey yi bàyyi soppiku, loolu dafay tekki ni algorithm bi dafa boole. Luñu bëgga mooy wàññi variance bi ci biir cluster bi, diggante poñ yi ak seen centroid. Ndax njariñ yi a ngi aju ci fi ñu tàmbalee, tàmbali bu am xel bu melni K-Means ++ dafay tasaare centroid yu njëkk yi. Danga wara tànn K bu njëkk, ngay faral di teg 'method concour' bi ci courbe erreur bi.
Gis-gis xarala
K-Means dafay wàññi inertie, di distance kaare yi diggante poñ bu nekk ak centroid biñ ko jox. Assign-then-update loop bi dafay nuru anam wu ñuy xaar-maximisation buy wàññi inertie bi saa yu nekk, di garanti convergence ci lu gëna ndaw ci gox bi, waaye du doon lu gëna baax ci àdduna bi. Dafay xalaat ni clusters yi dañuy nuru bul te dañuy nuru ci dayo, ndax dafay aju ci distance Euclidean, kon grupu yu gudd wala yu tolloowul dayo mën nañu ko nax.
njeextalu pexe
dogal yu gëna leer
Daf lay jàppale nga tàqale kàddu yu leer ci wàllu xarala ak làkku fësal njaay.
Njëgg ak budget
Mën nga laaj laaj yu gëna baax ci samp gi balaa ngay dugal xaalis wala sa jotu liggéey.
Ekip ak def liggéey
Ekip yi bokk xam-xam ñoo gëna mëna jël yenn dogal ci wàllu produit, politik ak jàng.
Ëlëgu K-Means boole
K-Means mingi wéy di nekk fasu liggéey ndax gaaw na te dafay yegg ba ci ay done yu bari jaaraleko ci xeetu mini-batch yuy yeesal centroid ci misaal yu ndaw. Gëstu baa ngi wéy ci tànneef bu otomatik bu K, tàmbali bu gëna am xel, ak kernel wala jàng bu xóot biy jëfandikoo cluster yu amul bul. Dañu koy gëna jëfandikoo muy jéego bu njëkk, di kompresse ay done wala di defar ay man-man balaa ñuy dundal model yu gëna xawa jafe, ak ci biir base de done vecteur ngir gaawlu seetlu nuru ci embeddings.
Doxal ci àdduna dëgg
Segmentation kiliyaan bi: xaaj jëndkat yi ci xaalis bi ñuy dugal ak ni ñuy faral di ñëw ngir mëna tànn kàmpaañu fësal njaay yi.
Kompresioŋ melo nataal: wàññi ay milioŋ ci melo pixel yi ba K melo melo ngir wàññi dayo fichier bi.
Organisasioŋ dokimaa: dajale xëti xibaar yi wala këyit yiy jàppale ci topic bu nekk te kenn tànnul kategori yu njëkk.
Gis anomalie: màndargaal poñ yi sori ci bépp santu cluster ni ay njuuj njaaj wala ay njuumte ci kaptër bi.
Risk yi ak balustrade yi
Ekip yu bari mën nañu jëfandikoo benn baat ci anam wu wuute, kon teela leeral yaatuwaayam.
Benchmark yi mën nañu nuru lu am doole waaye performance yi ci àdduna bi duñu tolloo.
Bëgg kalite done ak palaŋu jàngat dafay faral di jur njariñ yu yomba dagg.
Roadmap ngir samp gi
Tàmbaleel ci joxe leeral ci làkk wu leer ci njariñ li nga soxla.
Tannal benn metric bu baax ak benn anam bu baaxul balaa ngay saytu.
Doxal ab pilote bu ndaw ak ay done yu representatif, du ab demo bu leer.
Bindal fi K-Means Clustering di jàppale ak fi pexe yu gëna yomba gëna baax.
Weyal di banneexu
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Gis bi ci topp
Njàngat ci poñ yiñ am ci xalaat
Laaj yi ñuy faral di laaj
Luy K-Means Clustering?
K-Means algorithm la buñudul saytu, muy tànnal ci saasi ay done ci grupu K ci wut santaru cluster yi. Dafa am solo ndax dafay wane jumtukaay yu nëbbu ci done yuñ etiketewul, dalee ko ci wàllu kiliyaan yi ba ci melo nataal yi.
Luy 'K' bi ci K-Means?
K mooy limu cluster yi jëfandikukat bi di wax balaa muy doxal algorithm bi; ci la anam wi gis ni centroid yu bari.
Lan mooy ñaari jéego yi ñuy baamtu ci bouclage K-Means bi?
K-Means dafay wuute ci joxe poñ bu nekk ci centroid bi gëna jege ak xaymawaat centroid bu nekk muy moyenne poñ yiñ ko jox.
Ban limu K-Means di jéema wàññi?
K-Means dafay wàññi inertie, distance carré bi tollu ci digganté poñ yi ak centroid biñ leen jox, loolu mooy tax cluster yi gëna dëgër.
Lu tax ñuy woowe K-Means algorithm buñu 'dul saytu'?
Kuñu saytuwul dafay tekki ni done yi amul benn etiket; K-Means dafay wut structure ci boppam te kenn waxu ko grup yi war.
Lan mooy 'méthode concou' bi ñuy faral di jëfandikoo?
Xeetu concour bi dafay wane njuumte ak K ba noppi di seet bërëb bi nga xamni yokk yeneen clusters du jàppale lu bari.