Browsing School of Computer Science and Informatics by Subject "Cluster analysis"

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Browsing School of Computer Science and Informatics by Subject

Browsing School of Computer Science and Informatics by Subject "Cluster analysis"

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The application of cluster analysis in geophysical data interpretation

Song, Yu-Chen ; Meng, Hai-Dong ; O'Grady, Michael J. ; O'Hare, G. M. P. (Greg M. P.) (Springer, 2010-03)

A clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation. ...
A latent space mapping for link prediction

Brew, Anthony ; Salter-Townshend, Michael (2010-12-11)

Network modeling can be approached using either discriminative or probabilistic models. In the task of link prediction a probabilistic model will give a probability for the existence of a link; while in some scenarios ...
Multi-view clustering for mining heterogeneous social network data

Greene, Derek ; Cunningham, Pádraig (2009-03)

Uncovering community structure is a core challenge in social network analysis. This is a significant challenge for large networks where there is a single type of relation in the network (e.g. friend or knows). In practice ...
Optimizing conflicting objectives in NMF using Pareto simulated annealing

Foley, Kevin ; Greene, Derek ; Cunningham, Pádraig (2010-08-30)

Non-Negative matrix factorization (NMF) has emerged as an important technique for simplifying high-dimension data into interpretable factors. NMF has the attractive characteristic that the factor matrices are naturally ...
Review of Statistical Network Analysis: Models, Algorithms, and Software

Salter-Townshend, Michael ; White, Arthur ; Gollini, Isabella ; Murphy, Thomas Brendan (Wiley-Blackwell, 2012-08)

The analysis of network data is an area that is rapidly growing, both within and outside of the discipline of statistics. This review provides a concise summary of methods and models used in the statistical analysis of ...
Spectral co-clustering for dynamic bipartite graphs

Greene, Derek ; Cunningham, Pádraig (Sun SITE Central Europe (CEUR), 2010-09-24)

A common task in many domains with a temporal aspect involves identifying and tracking clusters over time. Often dynamic data will have a feature-based representation. In some cases, a direct mapping will exist for both ...
Variational Bayesian inference for the Latent Position Cluster Model

Salter-Townshend, Michael ; Murphy, Thomas Brendan (2009-12)

Many recent approaches to modeling social networks have focussed on embedding the actors in a latent “social space”. Links are more likely for actors that are close in social space than for actors that are distant in ...