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Methods in Molecular Biology, ISSN 1064-3745, 2017, Volume 1526, pp. 345 - 362
Journal Article
Journal of Multivariate Analysis, ISSN 0047-259X, 2007, Volume 98, Issue 5, pp. 873 - 895
Journal Article
Journal of Network and Computer Applications, ISSN 1084-8045, 11/2014, Volume 46, pp. 198 - 226
Journal Article
JOURNAL OF THE ACM, ISSN 0004-5411, 08/2019, Volume 66, Issue 4, pp. 1 - 42
Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on... 
stochastic block model | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, THEORY & METHODS | Hierarchical clustering | PCA | Cluster analysis | Economic models | Algorithms | Similarity | Cost function | Clustering | Combinatorial analysis | Optimization
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 12/2019, Volume 128, pp. 283 - 289
This paper proposes an exceptionally simple algorithm, called forward-stagewise clustering, for convex clustering. Convex clustering has drawn recent attention... 
Generalized lasso | Fusion penalty | Hierarchical clustering | K-nearest neighbor
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 06/2010, Volume 105, Issue 490, pp. 713 - 726
Journal Article
Journal of Classification, ISSN 0176-4268, 10/2014, Volume 31, Issue 3, pp. 274 - 295
The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also... 
Pattern Recognition | Signal, Image and Speech Processing | Ward | Lance-Williams | Statistical Theory and Methods | Psychometrics | Statistical software | Minimum variance | Hierarchical clustering | Statistics | Bioinformatics | Marketing
Journal Article
JOURNAL OF CLASSIFICATION, ISSN 0176-4268, 10/2014, Volume 31, Issue 3, pp. 274 - 295
The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also... 
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | Ward | Lance-Williams | Statistical software | PSYCHOLOGY, MATHEMATICAL | Minimum variance | Hierarchical clustering | Computer science | Case studies | Algorithms | Analysis | Methods | Cluster analysis
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2015, Volume 24, Issue 4, pp. 994 - 1013
Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering,... 
k-means | Regularization paths | Alternating direction method of multipliers | Hierarchical clustering | Convex optimization | Alternating minimization algorithm | PATH | PROJECTION | ALGORITHM | DECOMPOSITION | STATISTICS & PROBABILITY | SELECTION
Journal Article
Methods in molecular biology (Clifton, N.J.), ISSN 1064-3745, 2008, Volume 453, pp. 423 - 439
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 09/2015, Volume 37, Issue 9, pp. 1930 - 1937
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 12/2011, Volume 19, Issue 6, pp. 1163 - 1176
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 12/2017, Volume 18, Issue Suppl 16, pp. 546 - 147
Journal Article
Information Sciences, ISSN 0020-0255, 12/2016, Volume 373, pp. 200 - 218
Existing hierarchical clustering algorithms involve a flat clustering component and an additional agglomerative or divisive procedure. This paper presents a... 
Grid granulation | Granular computing | Density peaks | Hierarchical clustering | DIMENSIONALITY REDUCTION | BIG DATA | INFORMATION | ALGORITHM | COMPUTER SCIENCE, INFORMATION SYSTEMS | Information science | Analysis | Algorithms | Specific gravity | Trees | Cluster analysis | Construction | Hierarchies | Parents | Clusters | Clustering | Density
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2012, Volume 46, Issue 11, pp. 1 - 17
Many high-throughput biological data analyses require the calculation of large correlation matrices and/or clustering of a large number of objects. The... 
Robust correlation | R | Hierarchical clustering | Pearson correlation | NETWORK ANALYSIS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PACKAGE | hierarchical clustering | STATISTICS & PROBABILITY | robust correlation
Journal Article