Two basic issues for data analysis and kernel-machines design are approached in this
paper: determining the number of partitions of a clustering task and the parameters of …

The total number of concepts in a concept lattice tends to grow exponentially with the size of
a context. There are numerous methods for selecting a subset of concepts based on some …

The paradigm shift from hypothesis-driven to data-driven exploratory data analysis methods
has been gaining acceptance in several emerging research areas as self-organization …

Differently from a supervised machine learning problem, where one seeks to find an
approximate function from a labeled dataset, the unsupervised problems does not contain …

A set of memes were extracted from a knowledge-exchange chain experiment to investigate
the communication and exchange of information in physics classes. Meme change patterns …