Title :
Hierarchical Density-Based Clustering Using Level-Sets
Author :
Indaco, Francesco Alex ; Teng-Sheng Moh
Author_Institution :
Dept. of Comput. Sci., San Jose State Univ., San Jose, CA, USA
Abstract :
This paper introduces the concept of graphing the size of a level-set against its respective density threshold. This is used to develop a new recursive version of DBSCAN that successfully performs hierarchical clustering, called Level-Set Clustering (LSC).
Keywords :
graph theory; learning (artificial intelligence); pattern clustering; set theory; DBSCAN; LSC; density threshold; hierarchical density-based clustering; level-set clustering; level-set size graphing; Clustering algorithms; Complexity theory; Computer science; Educational institutions; Indexing; Kernel; Optics; Density-Based Clustering; Hierarchical Clustering; Machine Learning;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
DOI :
10.1109/CloudCom.2014.126
