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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...
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05/28/2018
Core Conflictual Relationship: Text Mining to Discover What and When
Following detailed presentation of the Core Conflictual Relationship The...
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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...
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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...
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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...
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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...
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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...
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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....
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05/14/2014
Pattern Recognition in Narrative: Tracking Emotional Expression in Context
Using geometric data analysis, our objective is the analysis of narrativ...
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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...
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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...
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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...
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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...
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01/13/2012
Ultrametric Model of Mind, I: Review
We mathematically model Ignacio Matte Blanco's principles of symmetric a...
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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...
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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...
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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...
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04/30/2011
Methods of Hierarchical Clustering
We survey agglomerative hierarchical clustering algorithms and discuss e...
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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...
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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...
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08/20/2010
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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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...
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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...
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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...
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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...
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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...
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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...
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12/17/2004
Swarming around Shellfish Larvae
The collection of wild larvae seed as a source of raw material is a majo...
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08/05/2003