
Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping
It is demonstrated how linear computational time and storage efficient a...
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Core Conflictual Relationship: Text Mining to Discover What and When
Following detailed presentation of the Core Conflictual Relationship The...
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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...
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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...
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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...
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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...
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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...
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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....
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Pattern Recognition in Narrative: Tracking Emotional Expression in Context
Using geometric data analysis, our objective is the analysis of narrativ...
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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...
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A History of Cluster Analysis Using the Classification Society's Bibliography Over Four Decades
The Classification Literature Automated Search Service, an annual biblio...
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The Future of Search and Discovery in Big Data Analytics: Ultrametric Information Spaces
Consider observation data, comprised of n observation vectors with value...
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Ultrametric Model of Mind, II: Application to Text Content Analysis
In a companion paper, Murtagh (2012), we discussed how Matte Blanco's wo...
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Ultrametric Model of Mind, I: Review
We mathematically model Ignacio Matte Blanco's principles of symmetric a...
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Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm
The Ward error sum of squares hierarchical clustering method has been ve...
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Fast, Linear Time, mAdic 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...
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Fast, Linear Time Hierarchical Clustering using the Baire Metric
The Baire metric induces an ultrametric on a dataset and is of linear co...
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Methods of Hierarchical Clustering
We survey agglomerative hierarchical clustering algorithms and discuss e...
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Fast redshift clustering with the Baire (ultra) metric
The Baire metric induces an ultrametric on a dataset and is of linear co...
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New Methods of Analysis of Narrative and Semantics in Support of Interactivity
Our work has focused on support for film or television scriptwriting. Si...
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Ultrametric and Generalized Ultrametric in Computational Logic and in Data Analysis
Following a review of metric, ultrametric and generalized ultrametric, w...
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Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets
Data analysis and data mining are concerned with unsupervised pattern fi...
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ScaleBased 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...
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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...
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From Data to the pAdic or Ultrametric Model
We model anomaly and change in data by embedding the data in an ultramet...
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Symmetry in Data Mining and Analysis: A Unifying View based on Hierarchy
Data analysis and data mining are concerned with unsupervised pattern fi...
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Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, b...
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Swarming around Shellfish Larvae
The collection of wild larvae seed as a source of raw material is a majo...
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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...
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Fionn Murtagh
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Professor of Data Science, Director Centre of Mathematics and Data Science at The University of Huddersfield