๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On clustering tree structured data with categorical nature

โœ Scribed by B. Boutsinas; T. Papastergiou

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
302 KB
Volume
41
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Clustering categorical data: an approach
Clustering categorical data: an approach based on dynamical systems
โœ David Gibson; Jon Kleinberg; Prabhakar Raghavan ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 209 KB

We describe a novel approach for clustering collections of sets, and its application to the analysis and mining of categorical data. By "categorical data," we mean tables with fields that cannot be naturally ordered by a metrice.g., the names of producers of automobiles, or the names of products off

Speaker-independent speech recognition b
Speaker-independent speech recognition based on tree-structured speaker clustering
โœ Tetsuo Kosaka; Shoichi Matsunaga; Shigeki Sagayama ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 231 KB

We have already proposed the application of tree-structured speaker clustering to supervised speaker adaptation. This paper proposes its application to unsupervised speaker adaptation and speakerindependent (SI) speech recognition. This clustering involves the selection of a speaker cluster from amo