🔍 DBSCAN
Posted: 05/07/2025
Density-based spatial clustering of applications with noise (DBSCAN) is a clustering algorithm used in machine learning to partition data into clusters based on their distance to other points. Its effective at identifying and removing noise in a data set, making it useful for data cleaning and outlier detection....
Read more →🔍 Cluster Analysis: Concepts and Types
Posted: 14/05/2025
Cluster analysis groups data objects into clusters based on the information found in the data itself. The goal is to produce clusters such that all of the members of a single cluster are similar to each other, while objects belonging to different clusters are unrelated...
Read more →🔍 K-means Clustering
Posted: 14/05/2025
K-means clustering is an unsupervised learning algorithm used for data clustering, which groups unlabeled data points into groups or clusters. It is one of the most popular clustering methods used in machine learning....
Read more →🔍Quantitative Modeling (Operations Research - OR) vs Empirical Research
Posted: 13/05/2025 (In Vietnamese)
Khi tìm hiểu về chương trình Tiến sĩ (PhD) trong lĩnh vực Quản trị Chuỗi Cung ứng (SCM), mọi người thường nhầm lẫn về Quantitative Modeling (Operations Research - OR) và Empirical Research...
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