A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

businesses may create consumer groups by using K-means clustering algorithms. Unsupervised machine learning widely uses K-means clustering to cluster data points into predetermined numbers.

Unsupervised machine ... powerful first step in a deep analysis of any complex topic, from weather forecasting to genetic research. Two major types of unsupervised learning are clustering and ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A Tokyo Tech ...

While some AI techniques (such as expert systems) use other approaches, machine learning drives ... model labels unfamiliar examples. Unsupervised learning, meanwhile, finds structure within unlabeled ...