Huhui waina a lākou Ka Ikepili. Ke scientific kokoke loa i kahi i loko o ke ao o ka luna 'ʻike manaʻo

Hooponopono ana i kekahi kaʻina, a me ke kūʻai akuʻana, komo ai ka Pahuhopu auhau o ke kahua ma ka kuai. Ke kiʻekiʻe o neʻe ma ke kaʻina hana o ka Ikepili o ka makeke pōmaikaʻi, a loaʻa i ke koho o ka pale umauma hoʻokahi aha kanaka, a me ka hooulu ana o ka luna 'ke kūʻai akuʻana a me ka manaʻo o ke kūʻai akuʻana hana, me kaʻikeʻoleʻalo me ka nele o ka noiʻi. Pela ia mea e pono ai,ʻaʻole wale e hilinai aku ma ka tālena a me ka hoao ana o ke kanaka kālailai, akā, no hoi i aʻo i loko o kona hoʻohana o aeaiiuo aaioee 'ana i kūpono.

Ma ka hoʻokele waiwai kālā no, a me kona luna 'a me ka multifaceted keʻano o ka hanaʻana, nunui dala o ka' ike e loaʻa i ka pili loa ikepili me ka hoʻohana 'ana o kekahi ana helu pūʻolo helu i loa problematic.

Ua ninoaaeyao He kūikawā a Mānoa huiwaina Ka Ikepili i loko o ke kūʻai akuʻana noiʻi. Ma kona ano, keia hui hana, hoʻohuiʻia kekahi mau ano o ana helu noiʻi. Ua Ua nānā 'ana i ka wahaheʻe Mea Maluna o multivariate loina, kela mea keia mea o ka a i kona kau iho o ho'ākāka aiaiiuo. Huhui waina a lākou Ka Ikepili paipai i kekahi papa hana e classify i ka mea i loko o pili homogeneous (ʻaʻahu) pūʻulu me ka palapala 'ia paha o nā aiaiiuo no ka noonoo. Ma nā hua'ōlelo, ua hoohioloia mea i loko o nā pūʻulu. Ma nā pūʻulu, ka mea, e hōʻike mea like ma luna o kekahi mau kai.

Huhui waina a lākou Ka Ikepili ki ina hana like i hoʻohana no ka laulā huahelu o ke kūʻai akuʻana pahu hopu.

Market segmentation e leie aku ka consumer e uhai i ka waeʻano i loko o he mau huhui ma ka kumu o ka manao pomaikai o ka 'āpana o kekahi mau waiwai. Kēlā me kēia huhui waina a lākou e komo ana i nā mea kūʻai mai ka poe e imi ana no like pomaikai. Ka inoa, ua lalau i kūpono - pomaikai segmentation hana.

Ka Ikepili o ka consumer hana. Ma keia hana, o ka huhui waina a lākou Ka Ikepili ua hoʻohana 'ia e hana i kekahi homogeneous Customer pūʻulu ma ka mea e simulate kā lākou hana.

Wā hiʻona o ka hou huina hoonui, ua hiki paka ia ma ka clustering ahi, i ka mea ia manawa hiki ke Hahai I regularity haʻi ka wā o nā lama o ka ia huhui waina a lākou hōʻike nō ia o ka wela Competition me kekahi i kekahi ma mua o me na hoailona ma ka'ē aʻe he mau huhui.

Hoʻohui 'ia he mau huhui i loko o ke kūlanakauhale, e hiki ke koho i ka loa kūpono wahi kanaka no kekahi mau waiwai.

Huhui waina a lākou Ka Ikepili ho'ēmi i kā ka dimensionality o nā ikepili. Ae hana i na loina ma luna o kekahi mau huhui waina a lākou, a laila, neʻe i mau discriminant Ka Ikepili. He nui simpler a ho'ēmi ma mua o noʻonoʻo kēlā me kēia hihia.

Ka pahuhopu o ka clustering mea e pae mea e like 'ano. No ka hou Pahuhopu auhau o ka degere o ka similarity e alakaʻi mai i kekahi olua pa alima. Ma ka ho okumu i huhui waina a lākou nō kāu hilinai aku maluna o elua a oi hiʻona ka poʻe.

Huhui waina a lākou Ka Ikepili komo ai i ka hoʻohana 'ana o kekahi laulā huahelu o ka clustering ki ina hana like. Iwaena o lakou e like me probabilistic hoʻokokoke mai, hoʻokokoke mai, a i ka nānā 'ana ma luna o ʻimi hoʻopunipuni manao, Logical hoʻokokoke, he hierarchical e hoʻokokoke.

Hierarchical huiwaina Ka Ikepili komo ai i ka luna ''ōnaehana i loaʻa i ka helu o kona pūnana aku pūʻulu a me he mau huhui o kekahi mau kauoha. Kēia papa hana hoʻohana mau ano o na hoailona. Agglomerate (unifying) hoailona coexist me divizivnymi (kaʻana). Ka helu o nā hiʻona hiki aku ai a hiki i ka kaawale ana ma monothetic Mea Maluna epekema a me ka polythetic.

E ho ohana a pau o kēia mau epekema ma ka 'ikepili helu, aia nō ma kahi o hoʻokahi haneri a me ka clustering algorithms. Akā, i ka hierarchical huhui waina a lākou Ka Ikepili o ka luna i loko o kēia papa. Kona hoopii moe ana ma ka oiaio i ka mea hana pono me ka nele o nāʻikepili, a hiki i ka wa a ka mea i loaʻa ikepili 'aʻole i lawe wahi i koi' ia ma ka olelo maʻamau haawi huikau ka DEBFULLNAME, e like me nā pono o ka panina ana helu ki ina hana like.