Algorithms for hierarchical clustering: an overview, II
F Murtagh, P Contreras - Wiley Interdisciplinary Reviews: Data …, 2017 - Wiley Online Library
We survey agglomerative hierarchical clustering algorithms and discuss efficient
implementations that are available in R and other software environments. We look at …
implementations that are available in R and other software environments. We look at …
Algorithms for hierarchical clustering: an overview
F Murtagh, P Contreras - Wiley Interdisciplinary Reviews: Data …, 2012 - Wiley Online Library
We survey agglomerative hierarchical clustering algorithms and discuss efficient
implementations that are available in R and other software environments. We look at …
implementations that are available in R and other software environments. We look at …
Machine learning and statistical methods for clustering single-cell RNA-sequencing data
R Petegrosso, Z Li, R Kuang - Briefings in bioinformatics, 2020 - academic.oup.com
Single-cell RNAsequencing (scRNA-seq) technologies have enabled the large-scale whole-
transcriptome profiling of each individual single cell in a cell population. A core analysis of …
transcriptome profiling of each individual single cell in a cell population. A core analysis of …
[PDF][PDF] A threshold selection method from gray-level histograms
N Otsu - Automatica, 1975 - dspace.tul.cz
Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …
Exploration of very large databases by self-organizing maps
T Kohonen - Proceedings of international conference on neural …, 1997 - ieeexplore.ieee.org
This paper describes a data organization system and genuine content-addressable memory
called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where …
called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where …
[图书][B] Modern applied statistics with S-PLUS
WN Venables, BD Ripley - 2013 - books.google.com
S is a powerful environment for the statistical and graphical analysis of data. It provides the
tools to implement many statistical ideas that have been made possible by the widespread …
tools to implement many statistical ideas that have been made possible by the widespread …
[PDF][PDF] A k-means clustering algorithm
JA Hartigan, MA Wong - Applied statistics, 1979 - danida.vnu.edu.vn
METHOD The algorithm requires as input a matrix of M points in N dimensions and a matrix
of K initial cluster centres in N dimensions. The number of points in cluster L is denoted by …
of K initial cluster centres in N dimensions. The number of points in cluster L is denoted by …
[图书][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
[图书][B] Image processing and data analysis: the multiscale approach
1. The wavelet transform; 1.1 Multiscale methods; 1.2 The continuous wavelet transform; 1.3
Examples of wavelet functions; 1.4 The discrete wavelet transform/1.5 Multiresolution based …
Examples of wavelet functions; 1.4 The discrete wavelet transform/1.5 Multiresolution based …