Title :
Large-scale dataset cascading clustering by item set and space decomposition
Author :
Melnyk, Roman ; Tushnytskyy, Ruslan
Author_Institution :
Software Dept., Lviv Polytech. Nat. Univ., Lviv
Abstract :
In the paper two clustering approaches based on decomposition of item set and space are considered. Some investigation was held to compare the algorithm accuracy and complexity. The test results for some criteria functions are presented.
Keywords :
pattern clustering; statistical analysis; item set; large-scale dataset cascading clustering; space decomposition; Clustering algorithms; Hypercubes; Image processing; Instruments; Large-scale systems; Micromechanical devices; Pattern analysis; Pattern recognition; Process design; Testing; clusters; dataset clustering; decomposition; hierarchical algorithm; hypercube; pattern keys;
Conference_Titel :
Perspective Technologies and Methods in MEMS Design, 2009. MEMSTECH 2009. 2009 5th International Conference on
Conference_Location :
Zakarpattya
Print_ISBN :
978-966-2191-06-6
