نتایج جستجو برای: cluster categories

تعداد نتایج: 307443  

2001
M.-S. YANG

This paper is a survey of fuzzy set theory applied in cluster analysis. These fuzzy clustering algorithms have been widely studied and applied in a variety of substantive areas. They also become the major techniques in cluster analysis. In this paper, we give a survey of fuzzy clustering in three categories. The first category is the fuzzy clustering based on fuzzy relation. The second one is t...

2007
Bin Zhu

A general framework for cluster tilting is set up by showing that any quotient of a triangulated category modulo a tilting subcategory (that is, a maximal oneorthogonal subcategory) carries an induced abelian structure. These abelian quotients turn out to be module categories of Gorenstein algebras of dimension at most one.

2007
Bin Zhu

A general framework for cluster tilting is set up by showing that any quotient of a triangulated category modulo a tilting subcategory (that is, a maximal oneorthogonal subcategory) carries an induced abelian structure. These abelian quotients turn out to be module categories of Gorenstein algebras of dimension at most one.

Journal: :Journal of Homotopy and Related Structures 2021

Journal: :Theoretical Computer Science 2014

2016
Tomoo Hidaka Takehito Hayakawa Takeyasu Kakamu Tomohiro Kumagai Yuhei Hiruta Junko Hata Masayoshi Tsuji Tetsuhito Fukushima

The present study was a cross-sectional study conducted to reveal the prevalence of metabolic syndrome and its components and describe the features of such prevalence among Japanese workers by clustered business category using big data. The data of approximately 120,000 workers were obtained from a national representative insurance organization, and the study analyzed the health checkup and que...

Journal: :Open journal of mathematical sciences 2022

In analogy with the classical theory of filters, for finitely complete or small categories, we provide concepts filter, \(\mathfrak{G}\)-neighborhood (short "Grothendieck-neighborhood") and cover-neighborhood points such to study convergence, cluster point, closure sieves compactness on objects that kind categories. Finally, all these in category \(\mathbf{Loc}\) locales.

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