eBook
Cluster Analysis: A Primer Using R
| Title: | Cluster Analysis: A Primer Using R |
|---|---|
| Description: | Cluster analysis is a fundamental data analysis task that aims to group similar data points together, revealing the inherent structure and patterns within complex datasets. This book serves as a comprehensive and accessible guide, taking readers on a captivating journey through the foundational principles of cluster analysis.At its core, the book delves deeply into various clustering algorithms, covering partitioning methods, hierarchical methods, and advanced techniques such as mixture density-based clustering, graph clustering, and grid-based clustering. Each method is presented with clear, concise explanations, supported by illustrative examples and hands-on implementations in the R programming language — a popular and powerful tool for data analysis and visualization.Recognizing the importance of cluster validation and evaluation, the book devotes a dedicated chapter to exploring a wide range of internal and external quality criteria, equipping readers with the necessary tools to assess the performance of clustering algorithms. For those eager to stay at the forefront of the field, the book also presents deep learning-based clustering methods, showcasing the remarkable capabilities of neural networks in uncovering hidden structures within complex, high-dimensional data.Whether you are a student seeking to expand your knowledge, a data analyst looking to enhance your toolbox, or a researcher exploring the frontiers of data analysis, this book will provide you with a solid foundation in cluster analysis and empower you to tackle a wide range of data-driven problems. |
| Authors: | Lior Rokach |
| Resource Type: | eBook. |
| Subjects: | R (Computer program language), Cluster analysis--Data processing |
| Categories: | COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / Machine Learning |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 4075277 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Cluster Analysis: A Primer Using R – Name: Abstract Label: Description Group: Ab Data: Cluster analysis is a fundamental data analysis task that aims to group similar data points together, revealing the inherent structure and patterns within complex datasets. This book serves as a comprehensive and accessible guide, taking readers on a captivating journey through the foundational principles of cluster analysis.At its core, the book delves deeply into various clustering algorithms, covering partitioning methods, hierarchical methods, and advanced techniques such as mixture density-based clustering, graph clustering, and grid-based clustering. Each method is presented with clear, concise explanations, supported by illustrative examples and hands-on implementations in the R programming language — a popular and powerful tool for data analysis and visualization.Recognizing the importance of cluster validation and evaluation, the book devotes a dedicated chapter to exploring a wide range of internal and external quality criteria, equipping readers with the necessary tools to assess the performance of clustering algorithms. For those eager to stay at the forefront of the field, the book also presents deep learning-based clustering methods, showcasing the remarkable capabilities of neural networks in uncovering hidden structures within complex, high-dimensional data.Whether you are a student seeking to expand your knowledge, a data analyst looking to enhance your toolbox, or a researcher exploring the frontiers of data analysis, this book will provide you with a solid foundation in cluster analysis and empower you to tackle a wide range of data-driven problems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lior+Rokach%22">Lior Rokach</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis--Data+processing%22">Cluster analysis--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4075277 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 519.5302855133 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: R (Computer program language) Type: general – SubjectFull: Cluster analysis--Data processing Type: general Titles: – TitleFull: Cluster Analysis: A Primer Using R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lior Rokach – PersonEntity: Name: NameFull: Lior Rokach IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 26 M: 11 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9789811297472 – Type: isbn-electronic Value: 9789811297489 Titles: – TitleFull: Cluster Analysis: A Primer Using R Type: main |
| ResultId | 1 |