Applications of clustering algorithms in biomedical research are ubiquitous, with typical
examples including gene expression data analysis, genomic sequence analysis, biomedical …

Today, the use of social networks is growing ceaselessly and rapidly. More alarming is the
fact that these networks have become a substantial pool for unstructured data that belong to …

An overview is given of prototype‐based models in machine learning. In this framework,
observations, ie, data, are stored in terms of typical representatives. Together with a suitable …

The investigation of human activity patterns from location-based social networks like Twitter
is an established approach of how to infer relationships and latent information that …

The stochastic block model (SBM) is a mixture model for the clustering of nodes in networks.
The SBM has now been employed for more than a decade to analyze very different types of …

This paper discusses the application of the kind of formal network methods more commonly
used in sociology to historical materials and especially to rural history. It addresses …

The term 'digital humanities' may be understood in three different ways: as 'digitized
humanities', by dealing essentially with the constitution, management, and processing of …

Prototype-based methods often display very intuitive classification and learning rules.
However, popular prototype based classifiers such as learning vector quantization (LVQ) are …

In some applications and in order to address real-world situations better, data may be more
complex than simple numerical vectors. In some examples, data can be known only through …

Cities are complex systems, where related Human activities are increasingly difficult to
explore within. In order to understand urban processes and to gain deeper knowledge about …