An Introduction to Clustering with R. (2020)

• Record Type: Book
• Further Information: Note: Paolo Giordani, Maria Brigida Ferraro, Francesca Martella.
• Authors: Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca
• Contents: Section: Introduction.- 1.1 Introduction to clustering.- 1.2 R software.- 2. Section: Standard algorithms.- 2.1 Introduction.- 2.2 Distances and dissimilarities.- 2.3 Hierarchical methods.- 2.4 Non-hierarchical methods.- 2.5 Cluster validity.- 3. Section: Fuzzy algorithms.- 3.1 Introduction.- 3.2 Fuzzy K-means.- 3.3 Fuzzy K-medoids.- 3.4 Other fuzzy variants.- 3.5 Cluster validity.- 4. Section: Model-based algorithms.- 4.1 Introduction.- 4.2 Mixture of Gaussian distributions.- 4.3 Mixture of non-Gaussian distributions.- 4.4 Parsimonious mixture models.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (340 pages)
• Subjects: Statistics; Statistics ; Biostatistics; Computers -- Mathematical & Statistical Software; Mathematics -- Probability & Statistics -- General; Science -- Life Sciences -- General; Mathematical & statistical software; Probability & statistics; Life sciences: general issues
• Languages: English
• ISBNs: 9789811305535
• Related ISBNs: 9789811305528
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.