InoteveraGaidhi rinotevera
Kureva Shift Clustering
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Basics GUIDE
K-Means is algorithm isina kutariswa iyo inogadzirisa data mumapoka eK nekutsvaga nzvimbo dzemasumbu.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Izvo zvine basa nekuti inoburitsa yakavanzika chimiro mune isina kunyorwa data, kubva kune vatengi zvikamu kusvika kune mufananidzo mavara.
K-Zvinoreva zvikamu zvedata kuita nhamba yakasarudzwa yemasumbu, K, isina mavara. Inotanga nekuisa K mapoinzi anonzi centroids, kazhinji pamadiro. Inobva yadzokorodza nhanho mbiri: isa poindi yega yega data kune yayo iri padyo centroid, uye fambisa imwe neimwe centroid kune avhareji chinzvimbo emapoinzi akapihwa kwairi. Aya nhanho loop kusvika migove yamira kuchinja, zvichireva kuti algorithm yachinja. Chinangwa ndechekudzikisa mukati-masumbu musiyano, iyo yakazara squared chinhambwe pakati pemapoinzi necentroid yavo. Nekuti mibairo inotsamira pane ekutanga zvinzvimbo, yakangwara yekutanga seK-Means++ inoparadzira ekutanga masendi akaparadzana. Iwe unofanirwa kusarudza K pachine nguva, kazhinji uchitungamirwa ne 'elbow nzira' pane yekukanganisa curve.
Mutengi segmentation: kuunganidza vatengi nekushandisa uye kushanyira frequency kune kunanga kushambadzira mishandirapamwe.
Kutsikirira kwemavara emufananidzo: kuderedza mamirioni epixel mavara kune K anomiririra mimvuri kuderedza saizi yefaira.
Gwaro resangano: kubatanidza zvinyorwa zvenhau kana matikiti ekutsigira nemusoro pasina zvikamu zvakafanotsanangurwa.
Anomaly yekuona: mureza mapoinzi kure kubva kune chero cluster centre sehungangove hutsotsi kana sensor kukanganisa.
K-Means inoramba iine bhiza rekushanda nekuti inokurumidza uye zviyero kune mahombe dataset kuburikidza ne mini-batch shanduro inogadziridza centroids pamasampuli madiki. Tsvagiridzo inoenderera mberi pakusarudza otomatiki kweK, kutanga zvine hungwaru, uye kernel kana zvakadzika-kudzidza zvakasiyana zvinobata asiri-akatenderera masumbu. Iri kuwedzera kushandiswa sedanho rekutanga, kudzvanya data kana kugadzira maficha asati adyisa mamwe mamodheru akaomarara, uye mukati mevector dhatabhesi kukurumidza kufanana kutsvaga pamusoro pekumisikidzwa.
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K-Means is algorithm isina kutariswa iyo inogadzirisa data mumapoka eK nekutsvaga nzvimbo dzemasumbu. Izvo zvine basa nekuti inoburitsa yakavanzika chimiro mune isina kunyorwa data, kubva kune vatengi zvikamu kusvika kune mufananidzo mavara.
K ndiyo nhamba yemasumbu anotsanangurwa nemushandisi asati amhanyisa algorithm; iyo nzira inobva yawana kuti akawanda centroids.
K-Zvinoreva zvinochinjanisa pakati pekugovera poindi yega yega kune yayo yepedyo centroid uye kudzokorodza imwe neimwe centroid seavhareji yemapoinzi ayo akapihwa.
K-Means inoderedza inertia, iyo yakazara squared chinhambwe pakati pemapoinzi uye centroid yavo yavakagoverwa, zvichiita kuti masumbu ashande.
Kusatariswa zvinoreva kuti data haina mavara; K-Means inowana chimiro pachayo pasina kuudzwa mapoka chaiwo.
Iyo nzira yegokora inoronga kukanganisa maringe neK uye inotarisa bend uko kuwedzera mamwe masumbu kunomira kubatsira zvakanyanya.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Kureva Shift Clustering
Tekinoroji