K- pụtara ụyọkọ
K-Means bụ algọridim na-enweghị nlekọta na-ahazi data na-akpaghị aka n'ime otu K site na ịchọta ebe ụyọkọ.
Nchịkọta
It matters because it reveals hidden structure in unlabeled data, from customer segments to image colors.
Ime miri emi
K- pụtara nkebi data n'ime ọnụọgụgụ nke ahọpụtara, K, na-enweghị akara ọ bụla. Ọ na-amalite site n'itinye isi ihe K a na-akpọ centroids, mgbe mgbe na enweghị usoro. Mgbe ahụ, ọ na-emegharị nzọụkwụ abụọ: kenye ebe data ọ bụla na centroid kacha nso, ma bugharịa centroid ọ bụla na nkezi ọnọdụ nke isi ihe e kenyere ya. Usoro ndị a na-emechi ruo mgbe ọrụ kwụsịrị ịgbanwe, nke pụtara na algọridim ejikọtala. Ebumnobi bụ ibelata ọdịiche dị n'ime-ụyọkọ, ngụkọta squared n'etiti isi ihe na centroid ha. N'ihi na nsonaazụ dabere na ọnọdụ mmalite, mmalite smart dị ka K-Means++ na-agbasa centroids mbụ iche. Ị ga-eburịrị K tupu oge eruo, 'usoro ikpere ụkwụ' na-eduzi mgbe niile n'usoro njehie.
Nghọta nka nka
K-Means na-ebelata inertia, nchikota nke squared anya site n'ebe ọ bụla ruo centroid ekenyere ya. The ekenye-mgbe ahụ-emelite loop bụ atụmanya-ịkwalite usoro ịke usoro na-ebelata inertia mgbe niile, na-ekwe nkwa nchikota na opekempe mpaghara, n'agbanyeghị na ọ bụchaghị kacha mma zuru ụwa ọnụ. Ọ na-eche na ụyọkọ dị okirikiri ma yie nha, ebe ọ na-adabere na anya Euclidean, yabụ ndị nwere ogologo ma ọ bụ ndị na-enweghị oke nwere ike ịghọgbu ya.
Mmetụta atụmatụ
Mkpebi doro anya
Ọ na-enyere gị aka ikewapụta nkwupụta ọrụ aka doro anya na asụsụ ahịa.
Ọnụ ego na mmefu ego
Ị nwere ike ịjụ ajụjụ mmejuputa iwu ka mma tupu itinye ego ma ọ bụ oge.
Team na usoro ọrụ
Ndị otu nwere nghọta na-eme ka ngwaahịa, amụma na mkpebi mmụta ka mma.
Ọdịnihu nke mkpokọta K- pụtara
K-Means na-anọgide na-arụ ọrụ n'ihi na ọ na-adị ngwa ngwa ma na-atụba nnukwu datasets site na ụdị obere-batch na-emelite centroids na obere nlele. Nnyocha na-aga n'ihu na nhọpụta K akpaaka, mmalite ka mma, yana kernel ma ọ bụ mmụta miri emi nke na-ejikwa ụyọkọ na-abụghị okirikiri. A na-eji ya dị ka usoro nhazi ụzọ, mkpakọ data ma ọ bụ na-emepụta atụmatụ tupu inye ụdị mgbagwoju anya karịa, yana n'ime ọdụ data vector iji mee ka nchọta myirịta dị ngwa ngwa n'ihe ntinye.
Mmejuputa n'ezie n'ụwa
Nkewa nke ndị ahịa: ịchịkọta ndị na-azụ ahịa site na itinye ego na nleta ugboro ole iji gbado anya mkpọsa ahịa.
Mkpakọ agba onyonyo: ibelata ọtụtụ nde pikselụ agba na ndo nnọchi anya K ka ọ belata nha faịlụ.
Nhazi akwụkwọ: ịchịkọta akụkọ akụkọ ma ọ bụ tiketi nkwado site na isiokwu na-enweghị edemede akọwapụtara.
Nchọpụta Anomaly: na-egosi ebe dị anya site na etiti ụyọkọ ọ bụla dị ka mmejọ aghụghọ ma ọ bụ ihe mmetụta.
Ihe ize ndụ & okporo ụzọ nche
Otu dị iche iche nwere ike iji otu okwu ahụ mee ihe n'ụzọ dị iche, yabụ kọwapụta oge n'oge.
Ihe nrịbama nwere ike ịdị ike ebe arụmọrụ ụwa na-adaghị adaba.
Ileghara ogo data na atụmatụ nyocha anya na-emepụtakarị nsonaazụ na-adịghị mma.
Map mmejuputa
Malite na nkọwa asụsụ dị larịị nke nsonaazụ ịchọrọ.
Họrọ otu metrik ịga nke ọma na otu ọnọdụ ọdịda tupu nnwale.
Gbaa obere onye na-anya ụgbọ elu nwere data nnọchite anya, ọ bụghị ihe ngosi ngosi na-egbu maramara.
Detuo ebe K-Means Clustering na-enyere aka yana ebe ụzọ dị mfe ka mma.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ntụle akara echiche pụtara
Ajụjụ a na-ajụkarị
What is K-Means Clustering?
K-Means bụ algọridim na-enweghị nlekọta na-ahazi data na-akpaghị aka n'ime otu K site na ịchọta ebe ụyọkọ. Ọ dị mkpa n'ihi na ọ na-ekpughe usoro zoro ezo na data enweghị akara, site na ngalaba ndị ahịa ruo na agba onyonyo.
Kedu ihe 'K' na K-Means na-ezo aka?
K bụ ọnụ ọgụgụ nke ụyọkọ onye ọrụ na-akọwapụta tupu ọ na-agba ọsọ algọridim; usoro ahụ wee chọpụta na ọtụtụ centroids.
Gịnị bụ nzọụkwụ abụọ na-emegharị ugboro ugboro na K-Means loop?
K-Means na-agbanwe n'etiti ikenye isi ihe ọ bụla na centroid kacha nso yana ịgbakọ centroid ọ bụla dị ka nkezi isi ihe ekenyere ya.
Kedu ọnụọgụ K-Means na-agbalị ibelata?
K-Means na-ebelata inertia, ngụkọta squared n'etiti isi ihe na centroid ekenyere ha, na-eme ka ụyọkọ sie ike.
Kedu ihe kpatara eji akpọ K-Means algọridim 'anaghị elekọta'?
Enweghị nlekọta pụtara na data enweghị akara; K-Means na-achọta usoro n'onwe ya na-agwaghị ndị otu ziri ezi.
Kedu ihe bụ 'usoro ikpere ụkwụ' a na-ejikarị eme ya?
Usoro ikiaka na-akpa nkata megide K wee na-achọ mgbada ebe ịgbakwunye ụyọkọ ndị ọzọ na-akwụsị inye aka nke ukwuu.