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Pregled bibliografske jedinice broj: 507464

Časopis

Autori: Krpić, Zdravko; Martinović, Goran; Vazler, Ivan
Naslov: Data Clustering: Applications in Engineering
Izvornik: Croatian Operational Research Review (CRORR) (1848-0225) 1 (2010); 180-189
Vrsta rada: članak
Ključne riječi: data clustering; engineering; least squares
Sažetak:
Dividing a set $S=\{; ; x_i=(x_1^{; ; (i)}; ; , x_2^{; ; (i)}; ; , \ldots, x_n^{; ; (i)}; ; )^T\in \mathbb{; ; R}; ; ^n\}; ; $ (a set of vectors from a vector space $\mathbb{; ; R}; ; ^n$) into disjunct subsets $\pi_1, \ldots, \pi_k$ $1\leq k\leq m$, such that \[ \bigcup\limits_{; ; i=1}; ; ^k \pi_i=S, \qquad \pi_i\cap \pi_j=\emptyset, \quad i\neq j, \qquad |\pi_j|\geq 1, \quad j=1, \dots, k, \] determines a partition of the set $S$ . The elements of such partition $\pi_1, \ldots, \pi_k$ are called clusters. For practical clustering applications the number of all clusters is too big and the problem of determining the optimal partition in the least-squares sense is an NP-hard problem. In this paper we will consider some well-known algorithms for searching for an optimal LS-partition, list some of the numerous applications of cluster analysis in engineering and give some practical applications.
Projekt / tema: 165-0362980-2002, 165-0361621-2000
Izvorni jezik: ENG
Current Contents: NE
Citation Index: NE
Ostale indexne publikacije: INSPEC;MathSciNet;Zentrallblatt für Mathematik/Mathematical Abstracts
Kategorija: Znanstveni
Znanstvena područja:
Matematika,Elektrotehnika
Tiskani medij: da
Google Scholar: Data Clustering: Applications in Engineering
Upisao u CROSBI: msabo@unios.hr (msabo@unios.hr), 24. Ožu. 2011. u 14:45 sati



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