TY  - EDBOOK
AB  - This paper introduces Crystallization Sonification, a sonification model for exploratory analysis of high-dimensional datasets. The  model  is  designed  to  provide  information  about  the  intrinsic data dimensionality (which is a local feature) and the global data dimensionality, as well as the transitions between a local and global view on a dataset. Furthermore the sound allows to display the clustering in high-dimensional datasets.  The model defines a crystal growth process in the high-dimensional data-space which starts at a user selected “condensation nucleus” and incrementally includes neighboring data according to some growth criterion. The sound  summarizes  the temporal evolution  of this crystal growth process.  For introducing the model, a simple growth law is used. Other growth laws which are used in the context of hierarchical clustering  are  also  suited  and  their  application  in  crystallization sonification offers new ways to inspect the results of data clustering as an alternative to dendrogram plots.
In this paper, the sonification model is described and example sonifications  are  presented  for  some  synthetic  high-dimensional datasets.
DA  - 2002
KW  - thermann
LA  - eng
PY  - 2002
TI  - Crystallization Sonification of High-dimensional Datasets
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-20174131
Y2  - 2024-11-22T05:34:56
ER  -