Kontakt
Kako kupovati
Dostava
Savjetnik za kupnju
Transitivity Clustering
Clustering biological data by unraveling hidden transitive substructures
Engleski
151 b
Do 30 dana za povrat
Kupci su kupili i
/
Adobe ePub DRM
4.14
€
Clustering is a computational technique for the assignment of objects into groups of similar elements. Generally, it is widely used for business data interpretation, natural language analyses, and image processing. Typical bioinformatic applications are the detection of homologous proteins and the identification of co-expressed genes. Here, we introduce Transitivity Clustering and its accompanying software framework TransClust, a homogeneous data partitioning method based on Weighted Transitive Graph Projection. It aims for unraveling hidden transitive substructures in a given similarity graph deduced from a pairwise similarity measure. Transitivity Clustering is an efficient technique that is capable of processing hundreds of thousands of data points while still being robust against outliers and noise. A single, intuitive density parameter determines the number and the size of the clusters; with provable attributes. In addition, we present extensions of the underlying graph model in order to create hierarchies and overlaps, as well as comparisons against alternative clustering approaches and real-world application cases.
Informacije o knjizi
Engleski
Poklonite ovu knjigu još danas
To je jednostavno
1 Dodajte knjigu u košaricu i odaberite isporuku kao poklon 2 Zauzvrat ćemo vam poslati kupon 3 Knjiga dolazi na adresu poklonoprimcaMoglo bi vas zanimati i
/
Meki uvez
26.95
€
/
Meki uvez
76.51
€
/
Proizvodi od papira
55.02
€
/
Tvrdi uvez
308.99
€
Dobar dan! Ja sam Libroamiko, vaš književni savjetnik.
Kako vam mogu pomoći?