FISHDBC: Flexible, Incremental, Scalable, Hierarchical Density-Based Clustering for Arbitrary Data and Distance

FISHDBC is a flexible, incremental, scalable, and hierarchical density-based clustering algorithm. It is flexible because it empowers users to work on arbitrary data, skipping the feature extraction step that usually transforms raw data in numeric arrays letting users define an arbitrary distance fu...

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Bibliographische Detailangaben

1. Verfasser:	Dell'Amico, Matteo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Data Structures and Algorithms Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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