SUN’IY INTELLEKTNING KLASTERLASH MODELLARIDAN FOYDALANIB MIJOZLARNI SEGMENTATSIYA QILISH USULLARI.

Authors

  • Abdurahmonov Otabek (Farg'ona davlat texnika universiteti talabasi) Author

Keywords:

mijoz segmentatsiyasi, klasterlash, K-means, DBSCAN, GMM, marketing tahlili.

Abstract

Ushbu maqolada mijozlarni segmentatsiya qilish jarayonida klasterlash (clustering) modellarining ahamiyati, ularning ishlash prinsiplari, afzallik va kamchiliklari tahlil qilinadi. Tadqiqotda K-means, Hierarchical, DBSCAN, Gaussian Mixture Model (GMM) va BIRCH kabi asosiy modellar ko‘rib chiqilgan. Shuningdek, real amaliyotlarda – marketing, elektron tijorat va moliya sohalarida – klasterlash modellarining qo‘llanilishi misollar yordamida yoritilgan. Maqola natijalari mijozlar xatti-harakatlarini chuqur tahlil qilish va maqsadli marketing strategiyalarini shakllantirishda samarali vosita sifatida klasterlash usullarining dolzarbligini ko‘rsatadi.

References

1. Kaixin Wang. Introduction to Clustering-Based Customer Segmentation. Medium, 2023.

2. Introduction to Clustering-Based Customer Segmentation. ResearchGate, 2023.

3. Customer Clustering: Cluster Segmentation Analysis. Medium, 2022.

4. Customer Segmentation via Cluster Analysis. Springer Journal, 2021.

5. An Exploration of Clustering Algorithms for Customer Segmentation. IEEE Access, 2020.

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Published

2025-11-30