axborotlarni izlash va ajratibolish

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prezentatsiya powerpoint muhammad al-xorazmiy nomidagi toshkent axborot texnologiyalari universiteti axborotlarni izlash vaajratib olish swd 1316 ierarxik klasterlash. ierarxik aglomerativ klasterlash, yagona va to'liq bo'g'inli klasterlash, ma’ruza rejasi hujjatlarning vektor fazo modeli klasterlash tushunchasi ierarxik klasterlash agglomerative klasterlash klaster o‘xshashligini baholash usullari hujjatlarning vektor fazo modeli tf (term frequency) – atama chastotasi idf (inverse document frequency)- hujjatning teskari chastotasi tf-idf (term frequency- inverse document frequency) – atamaning hujjatga tegishlilik ko’rsatkichi hujjatlarning vektor fazo modeli doc1= [tf1, tf2 ,…., tfn] doc2= [tf1, tf2 ,…., tfn] doc3= [tf1, tf2 ,…., tfn] doc4= [tf1, tf2 ,…., tfn] doc5= [tf1, tf2 ,…., tfn] doc6= [tf1, tf2 ,…., tfn] … doc1= [tf-idf1, tf-idf2 ,…., tf-idfn] doc2= [tf-idf1, tf-idf2 ,…., tf-idf n] doc3= [tf-idf1, tf-idf2 ,…., tf-idf n] doc4= [tf-idf1, tf-idf2 ,…., tf-idf n] doc5= [tf-idf1, tf-idf2 ,…., tf-idf n] doc6= [tf-idf1, tf-idf2 ,…., tf-idf n] … tf orqali ifodasi tf-idf orqali ifodasi hujjatlarning vektor fazo modeli …

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hligiga qarab klasterlarda guruhlash uchun ishlatiladi. klasterlash usullari (ierarxik klasterlsh) ierarxik klasterlash ierarxik klasterlashning ikkita asosiy turi agglomerative: aglomerativ ierarxik klasterlash (pastdan yuqoriga): protsedura 1 o‘lchamdagi n ta klasterdan boshlanadi (har bir kuzatuv o‘z klasteriga ega) va n o‘lchamdagi 1 ta klaster bilan tugaydi (barcha kuzatishlarni o‘z ichiga olgan bitta klaster). divisive: bo‘linuvchi ierarxik klasterlash (yuqoridan pastga): barcha kuzatuvlar dastlab bitta klasterning bir qismidir. ushbu boshlang'ich klaster har bir kuzatish o'z-o'zidan klaster hosil qilmaguncha, rekursiv ravishda kichikroq va kichikroq klasterlarga bo'linadi. an’anaviy ierarxik algoritmlar o‘xshashlik yoki masofa matritsasidan foydalanadi bir vaqtda bitta klasterni birlashtiring yoki ajrating agglomerative klaterlash 12 ierarxik klasterlash ierarxik klasterlash ierarxik daraxt sifatida tashkil etilgan ichki klasterlar to‘plamini ishlab chiqaradi. dendrogramma – birlashtirish yoki bo‘linish ketma-ketligini qayd etadigan daraxtga o‘xshash diagramma 1 3 2 5 4 6 0 0.05 0.1 0.15 0.2 1 3 4 5 2 6 1 2 3 4 5 ierarxik klasterlashning kuchli tomonlari …

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ng bizda bir nechta klasterlar mavjud c1 c4 c2 c5 c3 c1 c2 c3 c4 c5 c1 c2 c3 c4 c5 yaqinlik matritsasi ... p1 p2 p3 p4 p9 p10 p11 p12 biz ikkita eng yaqin klasterni (c2 va c5) birlashtirmoqchimiz va yaqinlik matritsasini yangilamoqchimiz. c1 c4 c2 c5 c3 c1 c2 c3 c4 c5 c1 c2 c3 c4 c5 proximity matrix ... p1 p2 p3 p4 p9 p10 p11 p12 o‘rta holat birlashtirishdan kiyin “yaqinlik matritsasi qanday yangilanadi?" c2 u c1 c4 c2 u c5 c3 c2 u c c1 c5 c3 c4 c1 ? 5 ? ? ? ? c3 ? c4 ? yaqinlik matritsasi ... p1 p2 p3 p4 p9 p10 p11 p12 klasterlararo o‘xshashlikni qanday aniqlash mumkin p1 p2 p3 p4 p5 . p1 p2 p3 p4 p5 . . . . . similarity? min max guruh o‘rtachasi centroidlar orasidagi masofa maqsad funktsiyasi tomonidan boshqariladigan boshqa …

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1 2 3 4 5 6 1 0 .24 .22 .37 .34 .23 2 .24 0 .15 .20 .14 .25 3 .22 .15 0 .15 .28 .11 4 .37 .20 .15 0 .29 .22 5 .34 .14 .28 .29 0 .39 6 .23 .25 .11 .22 .39 0 ierarxik klasterlash: max nested clusters dendrogram 3 6 4 1 2 5 0 0.1 0.05 0.4 0.35 0.3 0.25 0.2 0.15 1 2 3 4 5 6 1 2 5 3 4 1 2 3 4 5 6 1 0 .24 .22 .37 .34 .23 2 .24 0 .15 .20 .14 .25 3 .22 .15 0 .15 .28 .11 4 .37 .20 .15 0 .29 .22 5 .34 .14 .28 .29 0 .39 6 .23 .25 .11 .22 .39 0 klaster o‘xshashligi: guruh o‘rtacha ikki klasterning yaqinligi - bu ikkita klasterdagi nuqtalar orasidagi juftlik yaqinligining o'rtacha qiymati. σpi∈clusteri proximity(pi, pj) kengaytirish uchun …

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prezentatsiya powerpoint muhammad al-xorazmiy nomidagi toshkent axborot texnologiyalari universiteti axborotlarni izlash vaajratib olish swd 1316 ierarxik klasterlash. ierarxik aglomerativ klasterlash, yagona va to'liq bo'g'inli klasterlash, ma’ruza rejasi hujjatlarning vektor fazo modeli klasterlash tushunchasi ierarxik klasterlash agglomerative klasterlash klaster o‘xshashligini baholash usullari hujjatlarning vektor fazo modeli tf (term frequency) – atama chastotasi idf (inverse document frequency)- hujjatning teskari chastotasi tf-idf (term frequency- inverse document frequency) – atamaning hujjatga tegishlilik ko’rsatkichi hujjatlarning vektor fazo modeli doc1= [tf1, tf2 ,…., tfn] doc2= [tf1, tf2 ,…., tfn] doc3= [tf1, tf2 ,…., tfn] doc4= [tf1, tf2 ,…., tfn] doc5= [tf1, tf2 ,…., tfn] d...

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