It is highly likely that there is a partition that is judged by a stability measure as a bad one
while it contains one (or more) high quality cluster (s); and then it is totally neglected. So …

We present a review on perception and cognition models designed for or applicable to
music. An emphasis is put on computational implementations. We include findings from …

Many stability measures, such as Normalized Mutual Information (NMI), have been
proposed to validate a set of partitionings. It is highly possible that a set of partitionings may …

In Part I [Purwins H, Herrera P, Grachten M, Hazan A, Marxer R, Serra X. Computational
models of music perception and cognition I: The perceptual and cognitive processing chain …

Inspired by bagging and boosting algorithms in classification, the non-weighing and
weighing-based sampling approaches for clustering are proposed and studied in the paper …

Unsupervised web page classification refers to the problem of clustering the pages in a web
site so that each cluster includes a set of web pages that can be classified using a unique …

Guided by the idea that musical human-computer interaction may become more effective,
intuitive, and creative when basing its computer part on cognitively more plausible learning …

Web page classification refers to the problem of automatically assigning a web page to one
or more classes after analysing its features. Automated web page classifiers have many …

A causal system to represent a stream of music into musical events, and to generate further
expected events, is presented. Starting from an auditory front-end that extracts low-level (ie …

In unsupervised learning, such as clustering, the problem occurs how to evaluate the results.
In particular, neither the number of clusters nor the mapping between eventually known …