In collaboration with Chicago Booth, the Master’s Program in Computer Science (MPCS) offers a distinctive joint MBA/MPCS ...

The biggest opportunities don’t come from people searching for your name. They come when someone’s searching for a ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Abstract: The traditional k-means algorithm has randomness in the selection of the initial clustering center, which is easy to fall into local optimum. In order to select the appropriate initial ...

A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.

Hierarchical clustering, a widely used clustering technique, can offer a richer representation by suggesting the potential group structures. However, parallelization of such an algorithm is ...