{"id":15649,"date":"2023-12-04T15:33:24","date_gmt":"2023-12-04T15:33:24","guid":{"rendered":"https:\/\/promoguy.nl\/vocabulary\/clusters\/"},"modified":"2023-12-04T15:33:24","modified_gmt":"2023-12-04T15:33:24","slug":"clusters","status":"publish","type":"entity","link":"https:\/\/promoguy.nl\/lv\/blog\/vocabulary\/clusters\/","title":{"rendered":"klasteri"},"content":{"rendered":"

Klasteru anal\u012bze jeb klasteru veido\u0161ana ir uzdevums sagrup\u0113t objektu kopumu t\u0101, lai vienas grupas (ko sauc par klasteri) objekti b\u016btu savstarp\u0113ji (t\u0101d\u0101 vai cit\u0101d\u0101 zi\u0146\u0101) l\u012bdz\u012bg\u0101ki nek\u0101 objekti cit\u0101s grup\u0101s (klasteros). Tas ir viens no galvenajiem p\u0113tniecisk\u0101s datu ieguves uzdevumiem un izplat\u012bts statistisk\u0101s datu anal\u012bzes pa\u0146\u0113miens, ko izmanto daudz\u0101s jom\u0101s, tostarp ma\u0161\u012bnm\u0101c\u012bb\u0101, t\u0113lu atpaz\u012b\u0161an\u0101, att\u0113lu anal\u012bz\u0113, inform\u0101cijas mekl\u0113\u0161an\u0101 un bioinform\u0101tik\u0101. Klasteru anal\u012bze pati par sevi nav viens konkr\u0113ts algoritms, bet gan visp\u0101r\u012bgs risin\u0101ms uzdevums. To var veikt ar da\u017e\u0101diem algoritmiem, kas b\u016btiski at\u0161\u0137iras ar savu priek\u0161statu par to, kas ir klasteris un k\u0101 tos efekt\u012bvi atrast. Popul\u0101ri klasteru j\u0113dzieni ietver grupas ar maziem att\u0101lumiem starp klastera locek\u013ciem, bl\u012bvas datu telpas zonas, interv\u0101lus vai \u012bpa\u0161us statistiskos sadal\u012bjumus. T\u0101p\u0113c klasteru veido\u0161anu var formul\u0113t k\u0101 daudzobjekt\u012bvu optimiz\u0101cijas probl\u0113mu. Atbilsto\u0161s klasteriz\u0101cijas algoritms un parametru iestat\u012bjumi (tostarp t\u0101das v\u0113rt\u012bbas k\u0101 izmantojam\u0101 att\u0101luma funkcija, bl\u012bvuma slieksnis vai sagaid\u0101mo klasteru skaits) ir atkar\u012bgi no konkr\u0113t\u0101s datu kopas un paredz\u0113t\u0101 rezult\u0101tu izmantojuma. Klasteru anal\u012bze k\u0101 t\u0101da nav autom\u0101tisks uzdevums, bet gan iterat\u012bvs zin\u0101\u0161anu atkl\u0101\u0161anas vai interakt\u012bvas daudzobjekt\u012bvas optimiz\u0101cijas process, kas ietver izm\u0113\u0123in\u0101jumus un neveiksmes. Bie\u017ei vien b\u016bs j\u0101maina datu pirmapstr\u0101de un mode\u013ca parametri, l\u012bdz rezult\u0101ts sasniegs v\u0113lam\u0101s \u012bpa\u0161\u012bbas. L\u012bdztekus terminam klasteriz\u0101cija ir vair\u0101ki termini ar l\u012bdz\u012bgu noz\u012bmi, tostarp autom\u0101tisk\u0101 klasifik\u0101cija, skaitlisk\u0101 taksonomija, botriolo\u0123ija (no grie\u0137u \u03b2\u03cc\u03c4\u03c1\u03c5\u03c2 \"v\u012bnoga\") un tipolo\u0123isk\u0101 anal\u012bze. S\u012bk\u0101k\u0101s at\u0161\u0137ir\u012bbas bie\u017ei vien ir rezult\u0101tu izmanto\u0161an\u0101: ja datu ieguves gad\u012bjum\u0101 interes\u0113 ieg\u016bt\u0101s grupas, tad autom\u0101tiskaj\u0101 klasifik\u0101cij\u0101 interes\u0113 ieg\u016bt\u0101 diskrimin\u0113jo\u0161\u0101 sp\u0113ja. Tas nereti rada p\u0101rpratumus starp p\u0113tniekiem, kas n\u0101k no datu ieguves un ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s jom\u0101m, jo vi\u0146i izmanto vienus un tos pa\u0161us terminus un bie\u017ei vien ar\u012b vienus un tos pa\u0161us algoritmus, bet vi\u0146u m\u0113r\u0137i ir at\u0161\u0137ir\u012bgi. Klasteru anal\u012bzi antropolo\u0123ij\u0101 1932. gad\u0101 aizs\u0101ka Driver un Kroeber 1932. gad\u0101, psiholo\u0123ij\u0101 to ieviesa Zubins 1938. gad\u0101 un Roberts Tryons 1939. gad\u0101, un slavens ir Cattell, kur\u0161 to s\u0101ka izmantot 1943. gad\u0101, lai klasific\u0113tu iez\u012bmju teorijas person\u012bbas psiholo\u0123ij\u0101.<\/p>","protected":false},"excerpt":{"rendered":"

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"","ping_status":"closed","template":"","meta":{"_acf_changed":false,"wl_entities_gutenberg":"","footnotes":""},"categories":[],"wl_entity_type":[39],"class_list":["post-15649","entity","type-entity","status-publish","hentry","wl_entity_type-thing"],"acf":[],"yoast_head":"\nclusters - Promoguy Digital Marketing Agency<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"lv_LV\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"clusters\" \/>\n<meta property=\"og:description\" content=\"Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). 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