The analyst firm identifies data collection, customer profile unification, integrations and segmentation as among the key features of a CDP ...

In spite of the abundance of clustering techniques and algorithms, clustering mixed interval (continuous) and categorical (nominal and/or ordinal) scale data remain a challenging problem. In order to ...

In this paper we present a novel clustering analysis method based on the Most Similar Relation Diagram (MSRD). MSRD is a diagram in which each datum of a dataset is linked to its most similar data. By ...

Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques.

10 types of data that should be on your keyword clustering wish list Use SERP data for keyword clustering to understand why URLs rank, what entities are used and the PAA/FAQ to answer.

Keywords: COVID-19, matrix norm, Kronecker product, non-equidimensional data clustering, cluster center generating Citation: Chen B, Han Y, Shang X and Zhang S (2022) A Novel COVID-19-Related Drug ...