b'Fionn Murtagh'

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research

∙ 02/27/2019

Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping

It is demonstrated how linear computational time and storage efficient a...

0 Fionn Murtagh, et al. ∙

research

∙ 05/28/2018

Core Conflictual Relationship: Text Mining to Discover What and When

Following detailed presentation of the Core Conflictual Relationship The...

0 Fionn Murtagh, et al. ∙

research

∙ 04/06/2017

Massive Data Clustering in Moderate Dimensions from the Dual Spaces of Observation and Attribute Data Clouds

Cluster analysis of very high dimensional data can benefit from the prop...

0 Fionn Murtagh, et al. ∙

research

∙ 11/30/2016

Contextualizing Geometric Data Analysis and Related Data Analytics: A Virtual Microscope for Big Data Analytics

The relevance and importance of contextualizing data analytics is descri...

0 Fionn Murtagh, et al. ∙

research

∙ 07/11/2016

Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research

The appeal of metric evaluation of research impact has attracted conside...

0 Fionn Murtagh, et al. ∙

research

∙ 04/23/2016

Visualization of Jacques Lacan's Registers of the Psychoanalytic Field, and Discovery of Metaphor and of Metonymy. Analytical Case Study of Edgar Allan Poe's "The Purloined Let

We start with a description of Lacan's work that we then take into our a...

0 Fionn Murtagh, et al. ∙

research

∙ 12/13/2015

Big Data Scaling through Metric Mapping: Exploiting the Remarkable Simplicity of Very High Dimensional Spaces using Correspondence Analysis

We present new findings in regard to data analysis in very high dimensio...

0 Fionn Murtagh, et al. ∙

research

∙ 07/06/2015

Correspondence Factor Analysis of Big Data Sets: A Case Study of 30 Million Words; and Contrasting Analytics using Apache Solr and Correspondence Analysis in R

We consider a large number of text data sets. These are cooking recipes....

0 Fionn Murtagh, et al. ∙

research

∙ 05/14/2014

Pattern Recognition in Narrative: Tracking Emotional Expression in Context

Using geometric data analysis, our objective is the analysis of narrativ...

0 Fionn Murtagh, et al. ∙

research

∙ 09/14/2013

Ultrametric Component Analysis with Application to Analysis of Text and of Emotion

We review the theory and practice of determining what parts of a data se...

0 Fionn Murtagh, et al. ∙

research

∙ 09/01/2012

A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades

The Classification Literature Automated Search Service, an annual biblio...

0 Fionn Murtagh, et al. ∙

research

∙ 02/15/2012

The Future of Search and Discovery in Big Data Analytics: Ultrametric Information Spaces

Consider observation data, comprised of n observation vectors with value...

0 Fionn Murtagh, et al. ∙

research

∙ 01/13/2012

Ultrametric Model of Mind, II: Application to Text Content Analysis

In a companion paper, Murtagh (2012), we discussed how Matte Blanco's wo...

0 Fionn Murtagh, et al. ∙

research

∙ 01/13/2012

Ultrametric Model of Mind, I: Review

We mathematically model Ignacio Matte Blanco's principles of symmetric a...

0 Fionn Murtagh, et al. ∙

research

∙ 11/27/2011

Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm

The Ward error sum of squares hierarchical clustering method has been ve...

0 Fionn Murtagh, et al. ∙

research

∙ 11/27/2011

Fast, Linear Time, m-Adic Hierarchical Clustering for Search and Retrieval using the Baire Metric, with linkages to Generalized Ultrametrics, Hashing, Formal Concept Analysis,

We describe many vantage points on the Baire metric and its use in clust...

0 Fionn Murtagh, et al. ∙

research

∙ 06/11/2011

Fast, Linear Time Hierarchical Clustering using the Baire Metric

The Baire metric induces an ultrametric on a dataset and is of linear co...

0 Pedro Contreras, et al. ∙

research

∙ 04/30/2011

Methods of Hierarchical Clustering

We survey agglomerative hierarchical clustering algorithms and discuss e...

0 Fionn Murtagh, et al. ∙

research

∙ 04/20/2011

Fast redshift clustering with the Baire (ultra) metric

The Baire metric induces an ultrametric on a dataset and is of linear co...

0 Fionn Murtagh, et al. ∙

research

∙ 11/14/2010

New Methods of Analysis of Narrative and Semantics in Support of Interactivity

Our work has focused on support for film or television scriptwriting. Si...

0 Fionn Murtagh, et al. ∙

research

∙ 08/20/2010

Ultrametric and Generalized Ultrametric in Computational Logic and in Data Analysis

Following a review of metric, ultrametric and generalized ultrametric, w...

0 Fionn Murtagh, et al. ∙

research

∙ 05/14/2010

Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets

Data analysis and data mining are concerned with unsupervised pattern fi...

0 Fionn Murtagh, et al. ∙

research

∙ 09/02/2009

Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation

By a "covering" we mean a Gaussian mixture model fit to observed data. A...

0 Fionn Murtagh, et al. ∙

research

∙ 09/04/2008

Between the Information Economy and Student Recruitment: Present Conjuncture and Future Prospects

In university programs and curricula, in general we react to the need to...

0 Fionn Murtagh, et al. ∙

research

∙ 09/02/2008

From Data to the p-Adic or Ultrametric Model

We model anomaly and change in data by embedding the data in an ultramet...

0 Fionn Murtagh, et al. ∙

research

∙ 05/18/2008

Symmetry in Data Mining and Analysis: A Unifying View based on Hierarchy

Data analysis and data mining are concerned with unsupervised pattern fi...

0 Fionn Murtagh, et al. ∙

research

∙ 02/24/2008

Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading

We show the potential for classifying images of mixtures of aggregate, b...

0 Fionn Murtagh, et al. ∙

research

∙ 12/17/2004

Swarming around Shellfish Larvae

The collection of wild larvae seed as a source of raw material is a majo...

0 Vitorino Ramos, et al. ∙

research

∙ 08/05/2003

The Generalized Riemann or Henstock Integral Underpinning Multivariate Data Analysis: Application to Faint Structure Finding in Price Processes

Practical data analysis involves many implicit or explicit assumptions a...

0 Pat Muldowney, et al. ∙

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