Sumbu ongororo. The dzesayenzi kusvika kudzidza kunzwisisa zvinoshamisa mumatenga

Kudzora chero muitiro, kusanganisira yokutengesa, Kunosanganisira chinangwa tinyatsonzwisisa ezvinhu ari pamusika. Zvishoma nezvishoma richipfuura nedanho kuongorora musika mikana, izvo zvinosanganisira kusarudzwa misika chipfuro, uye pave zvakaoma yokutengesa uye Implementation pamusoro yokutengesa zvinhu, nokusaziva atarisana kudiwa kutsvakurudza. Saka zvakakodzera kwete chete kuti kuvimba tarenda uye zvakaitika muongorori, asiwo kudzidzisa nemashandisiro ayo mashoko kugadzira nzira.

In upfumi ano, ayo pezvakaitwa yakaoma uye chinoumbwa nezvinhu zvakawanda, hombe rakawanda mashoko kuwana kupfuura akakodzera mashoko pasina kushandisa dzakasiyana Statistical Mabhokisi anova matambudziko chaizvo.

It anopindura basa rinokosha sumbu kuongorora pakutsvakurudza kumusika. By pezvawakaita, nzira iyi zvabatanidzwa tichibatanidza nzira dzinoverengeka Statistical tsvakurudzo. Zvinonzi zvakavakirwa panhema kupatsanura pakati multivariate zvaanorumbidza, imwe neimwe ine pachake yakatarwa rayo inorondedzera variables. Sumbu ongororo rinoratidza nzira kuti patsanura chinhu mune hama homogeneous (yunifomu) Mapoka vane yepakutanga akagadzirwa variables nezvawo. Nemamwe mashoko, zvinhu dzaputswa mumapoka. Mumapoka, vanoratidza zvakafanana akawanda chikonzero.

Sumbu kuongorora nzira inoshandiswa zvakawanda yokutengesa zvinangwa.

Market segmentation kunoita mutengi kuputsa muchikwata mukati masumbu pahwaro akatarisirwa zvakanakira kutsvaka zvimwe zvinhu. Mumwe sumbu anogona kuva vatengi vari kutsvaka kubatsirwa akafanana. The zita akarinhonga rakakodzera - zvakanakira segmentation nzira.

The kuongorora nevatengi maitiro. In basa iri, sumbu kuongorora chinoshandiswa kuumba homogeneous mapoka mutengi kuti vatevedzere maitiro avo.

Kutsanangura zviri chigadzirwa idzva, tinogona kubereka parutivi clustering mavanga, panguva imwe chete inogona kurondwa kakawanda iziviswe apo mavanga chete sumbu zviratidzwa munhu kukwikwidzana nemumwe pane pamwe mavanga mune mamwe masumbu.

Muzvikwata zvisina tsarukano namasumbu muguta, unogona kusarudza misika kupfuura akakodzera zvimwe zvinhu.

Sumbu kuongorora akazoita dimensionality ari mashoko. Kuita zvaanorumbidza vakaparadzana masumbu, ipapo kune vakawanda discriminant kuongorora. Zviri nyore zvikuru uye isingadhuri pane funga nechimwe.

Chinangwa clustering ndechokuti boka zvinhu nenzira yakafanana maitiro. Kuti uwane chinangwa tinyatsonzwisisa ukuru Kufanana vanofanira kutaura zvimwe duramazwi chikwata. In nokuumba namasumbu yemanyorero vanovimba maviri kana kupfuura panguva imwe chete chinokosha.

Sumbu kuongorora kunosanganisira kushandisa zvakawanda clustering nzira. Pakati pavo vane zvakadai probabilistic kusvika, nzira, izvo kwakavakirwa chakagadzirwa akachenjera, musoro kusvika, mumwe hierarchical nzira.

Hierarchical sumbu kuongorora kunosanganisira hwakaoma kunzwisisa ane vanoverengeka nested mapoka kana anamasumbu zvakasiyana mirairo. Nzira iyi inoshandisa zviviri zviratidzo. Agglomerate (Kubatana) zviratidzo vagare divizivnymi (kugoverana). Kuwanda zvinhu kunotungamirira munhu kumwedzi monothetic kupatsanura nzira uye polythetic.

Kushandisa zvose nzira idzi nhamba, pane vanenge zana nemakumi clustering algorithms. Asi hierarchical sumbu kuongorora mutungamiri pazvinhu izvi. mukukwezva uvete chokwadi kuti unoshanda zvakakwana chete dhefisiti pakati data, kunyange kana iripo Data asingatakuri nzvimbo sezvo kwaidiwa ezvinhu rinowanzoitwa vakaparadzira anongoitika variables, uyewo mamwe zvinodiwa dzenhoroondo Statistical nzira.