Syst. Biol. 65(3):495–507, 2016 © The Author(sPublished by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@o

Source URL: www.biologie.ens.fr

• Phylogenetics
• Biology
• Mathematics
• Academia
• Lineage
• Viral phylodynamics
• Phylogenetic tree
• Split
• Modularity
• Tree
• Ultrametric space
• Hierarchical clustering

Interactively Guiding Semi-Supervised Clustering via Attribute-based Explanations Shrenik Lad and Devi Parikh Virginia Tech Abstract. Unsupervised image clustering is a challenging and often illposed problem. Existing i

Source URL: filebox.ece.vt.edu

SWIFT: SCALABLE WEIGHTED ITERATIVE SAMPLING FOR FLOW CYTOMETRY CLUSTERING Iftekhar Naim1 , Suprakash Datta4, Gaurav Sharma1,2, James S. Cavenaugh3 , and Tim R. Mosmann3 1 Dept. of Electrical and Computer Engineering, 2

Source URL: www.ece.rochester.edu

Robust Bayesian clustering C´edric Archambeau Michel Verleysen ⋆ Machine Learning Group, Universit´e catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium. Abstract

Source URL: www0.cs.ucl.ac.uk

A Probabilistic Model for Online Document Clustering with Application to Novelty Detection Jian Zhang School of Computer Science Cargenie Mellon University

Source URL: mlg.eng.cam.ac.uk

BIOINFORMATICS ORIGINAL PAPER Vol. 21 no, pages 3832–3839 doi:bioinformatics/bti628

Source URL: www-stat.wharton.upenn.edu

• Bioinformatics
• Biology
• Genetics
• Biotechnology
• Ridge
• Cluster analysis
• Phylogenetic footprinting
• Sequence motif
• DNA binding site
• Hierarchical clustering
• Gene expression profiling
• K-means clustering

Module: CLUTO Toolkit Draft: Module Name CLUTO Toolkit 2) Scope The module briefly introduces the basic concepts of Clustering. The primary focus of

Source URL: curric.dlib.vt.edu

• Information science
• Statistics
• Cluster analysis
• Data analysis
• Data mining
• Geostatistics
• Bioinformatics
• Hierarchical clustering
• Document clustering
• UPGMA
• Nearest-neighbor chain algorithm
• Correlation clustering

Exploring Watts’ Cascade Boundary Daniel E Whitney Massachusetts Institute of Technology Watts’ “Simple Model of Global Cascades on Random Networks” used percolation theory to derive conditions u

Source URL: necsi.edu

• Graph theory
• Networks
• Network theory
• Physics
• Computing
• Network analysis
• Computer cluster
• Concurrent computing
• Clustering coefficient

Case Study 2: Document Retrieval Spectral Clustering Machine Learning/Statistics for Big Data CSE599C1/STAT592, University of Washington Emily Fox

Source URL: courses.cs.washington.edu

High-Performance GPU Clustering: GPUDirect RDMA over 40GbE iWARP Tom Reu Consulting Applications Engineer Chelsio Communications

Source URL: www.chelsio.com

• Computing
• Supercomputers
• Ethernet
• Parallel computing
• Computer memory
• SCSI
• IWARP
• Remote direct memory access
• OpenFabrics Alliance
• ISCSI
• RDMA over Converged Ethernet
• Transmission Control Protocol