Bando per assegno di ricerca
Titolo del progetto di ricerca in italiano | Mode-based clustering |
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Titolo del progetto di ricerca in inglese | Mode-based clustering |
Settore Concorsuale | 13 - Scienze economiche e statistiche |
S.S.D | SECS-S/01 - STATISTICA |
Descrizione sintetica in italiano | Mode-based clustering is a relatively recent approach to clustering. It has become increasingly popular as it can be used with large highdimensional datasets and does not require distributional assumptions. In this context, the most popular procedures are those based on the mean shift algorithm, whose statistical properties have been widely studied. Density peak clustering is a new mode-based clustering method, that is computationally simpler and faster than the mean shift. The new method has been cited by over a thousand papers that include improvements, speedups and all sort of applications. However, to our knowledge, none of these papers deals with the statistical properties of the procedure. This project aims at studying the theoretical features of density peak clustering and combining some of the principles behind the mean shift with some ideas from density pack in order to obtain more efficient clustering procedures. |
Descrizione sintetica in inglese | Mode-based clustering is a relatively recent approach to clustering. It has become increasingly popular as it can be used with large highdimensional datasets and does not require distributional assumptions. In this context, the most popular procedures are those based on the mean shift algorithm, whose statistical properties have been widely studied. Density peak clustering is a new mode-based clustering method, that is computationally simpler and faster than the mean shift. The new method has been cited by over a thousand papers that include improvements, speedups and all sort of applications. However, to our knowledge, none of these papers deals with the statistical properties of the procedure. This project aims at studying the theoretical features of density peak clustering and combining some of the principles behind the mean shift with some ideas from density pack in order to obtain more efficient clustering procedures. |
Data del bando | 17/09/2020 |
E' richiesta mobilità internazionale? | yes |
Paesi in cui può essere condotta la ricerca |
Italy |
Paesi di residenza dei candidati |
OTHER |
Nazionalità dei candidati |
OTHER |
Sito web del bando | https://economiaefinanza.luiss.it/ricerca/assegni-di-ricerca/bandi-di-concorso-2020 |
Destinatari dell'assegno di ricerca (of target group) |
Early stage researcher or 0-4 yrs (Post graduate) |
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Importo annuale | 19367 |
Valuta | Euro |
Comprende lo stipendio dell'assegnista | yes |
Comprende vitto e spese di viaggio | no |
Comprende il costo della ricerca | yes |
Massima durata dell'assegno (mesi) | 24 |
Nome dell'Ente finanziatore | LUISS GUIDO CARLI |
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Tipologia dell'Ente | Private with public mission |
Paese dell'Ente | Italy |
Città | Rome |
Sito web | http://www.luiss.it |
assegnidiricerca@luiss.it | |
Telefono | 0685225291 |
L'assegno finanziato/cofinanziato attraverso un EU Research Framework Programme? | No |
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Data di scadenza del bando | 23/10/2020 - alle ore 00:00 |
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Come candidarsi | http://jsa.luiss.it/LGCAssegni/index.zul?CDS=AS4045; |