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2016, Chapman & Hall/CRC handbooks of modern statistical methods, ISBN 9781466551886, xx, 753 pages
Book
2010, ISBN 9780521119139, Volume 9780521119139, xvii, 316 p., [16] p. of plates
"Presenting the state of the art in sparse and multiscale image and signal processing, this book weds theory and practice to examine their applications in a... 
Signal processing | Transformations (Mathematics) | Wavelets (Mathematics) | Image processing | Sparse matrices | Image Processing | Computer Science
Book
09/2017, Chapman & Hall/CRC Computer Science & Data Analysis, ISBN 0367657759, 224
" Data Science Foundations  is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics... 
Data Preparation & Mining | COMPUTERSCIENCEnetBASE | Statistical Computing | STMnetBASE | SCI-TECHnetBASE | MATHnetBASE | INFORMATIONSCIENCEnetBASE | STATSnetBASE | Applied Mathematics
eBook
Wiley interdisciplinary reviews. Data mining and knowledge discovery, ISSN 1942-4795, 12/2011, Volume 2, Issue 1, pp. 86 - 97
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We... 
Computer Science, Artificial Intelligence | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Algorithms | Hierarchies | Self organizing maps | Clustering
Journal Article
Journal of classification, ISSN 1432-1343, 10/2014, Volume 31, Issue 3, pp. 274 - 295
Journal Article
2018, 1, Chapman & Hall/CRC computer science and data analysis series, ISBN 9781498763936, 224
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics... 
Applied Mathematics | Statistical Computing | Data Preparation & Mining | Mathematical analysis | Spatial analysis (Statistics) | Big data | Quantitative research
eBook
Wiley interdisciplinary reviews. Data mining and knowledge discovery, ISSN 1942-4787, 11/2017, Volume 7, Issue 6, p. n/a
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We... 
Computer Science, Artificial Intelligence | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Algorithms | Self organizing maps | Data mining | Clustering
Journal Article
Journal of classification, ISSN 1432-1343, 01/2010, Volume 26, Issue 3, pp. 249 - 277
Journal Article
International journal of cognitive informatics & natural intelligence, ISSN 1557-3958, 10/2015, Volume 8, Issue 4, pp. 1 - 16
The author reviews the theory and practice of determining what parts of a data set are ultrametric. He describes the potential relevance of ultrametric... 
Text analysis | Correspondence analysis | Computation | Psychoanalysis | Social media | Ultrametric | Cognition | Metric | Unsupervised classification | Hierarchical clustering | Multivariate data analysis | Mattes | Intelligence | Picking | Texts | Social networks | Complement | Pattern recognition | Topology
Journal Article
Expert systems with applications, ISSN 0957-4174, 09/2019, Volume 129, pp. 296 - 310
Journal Article
Journal of classification, ISSN 1432-1343, 06/2007, Volume 24, Issue 1, pp. 3 - 32
Journal Article
01/2015, ISBN 9781466551893
Book
Language and Psychoanalysis, 2018, Volume 7, Issue 2
Journal Article
1985, ISBN 9783705100084, Volume 4., 131
Book
2009, Computer science and data analysis series., ISBN 9781584885948, xii, 280
Book
4/2015, Lecture Notes in Computer Science, ISBN 3319170902, Volume 9047
For high dimensional clustering and proximity finding, also referred to as high dimension and low sample size data, we use random projection with the following... 
Binary rooted tree | Big data | Hierarchical clustering | Computational complexity | Ultrametric topology
Book Chapter
1987, Astrophysics and space science library, ISBN 9789027724250, Volume 131, xvi, 210
Book
10/2015, Second edition., ISBN 9781107088061
This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric... 
Signal processing | Transformations (Mathematics) | Wavelets (Mathematics) | Image processing | Compressed sensing (Telecommunication) | Sparse matrices
eBook
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