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Clustering Algorithms & Mathematical Modeling

  • Fester Einband
  • 288 Seiten
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Cluster analysis has been used in a variety of fields. An algorithm is applied to the data with the purpose of dividing the eleme... Weiterlesen
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Beschreibung

Klappentext

Cluster analysis has been used in a variety of fields. An algorithm is applied to the data with the purpose of dividing the elements in groups in such a way that objects in the same group are as similar as possible to each other and are as dissimilar as possible to the objects of different groups. Based on the observed values of some variables, the elements are compared using some similarity or dissimilarity measure. This book explores the fields of clustering algorithms and mathematical modelling with research gathered from around the globe.



Zusammenfassung
Cluster analysis has been used in a variety of fields. This book explores the fields of clustering algorithms and mathematical modelling with research gathered from around the globe.

Inhalt

Preface; Drug Release Kinetics from Extended Release Oral Drug Delivery Systems: Mathematical Modeling using Various Approaches; Mathematical Modelling of Nanocrystalline & Amorphous Drugs Release & Gastro-Intestinal Absorption from Polymeric Particles; Mathematical Modeling of Drug Release from Pharmaceutical Dosage Forms; Computer Modeling of Synchronization of Proliferative Epidermis Activity Self-Oscillations in Psoriatic Lesions with an External Periodic Force; Comparing Different Clustering Algorithms for Categorical & Continuous Variables; Virtual Bioequivalence Trials as a Tool for Regulatory Decisions; New Scalable Varied Density Clustering Algorithm for Large Datasets; A Note on Feature Weight Selection in Fuzzy Means Algorithm; Mathematical Modelling of Hydride Formation; Systems with Hysteresis in Mathematical Biology via a Canonical Example; Index.

Produktinformationen

Titel: Clustering Algorithms & Mathematical Modeling
Editor:
EAN: 9781616686819
ISBN: 978-1-61668-681-9
Format: Fester Einband
Herausgeber: Nova Science Publishers Inc
Genre: Mathematik
Anzahl Seiten: 288
Gewicht: 706g
Größe: H261mm x B184mm x T22mm
Jahr: 2011
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