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Plato, 427-347 BC. Algorithms for Geometrical Data Analysis. N. Laskaris. What isn’t Geometrical Data Analysis ?. Statistical Data Analysis Hypothesis Driven methodologies A-priori (Top-Down) Data Modeling Parametric (model fitting) approaches.
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Plato, 427-347 BC Geometrical Data Analysis
Algorithms for Geometrical Data Analysis N. Laskaris Geometrical Data Analysis
What isn’t Geometrical Data Analysis ? Statistical Data Analysis Hypothesis Driven methodologies A-priori (Top-Down) Data Modeling Parametric (model fitting) approaches Geometrical Data Analysis
A little Motivation Geometrical Data Analysis
Information-Geometry vs. Informative - Geometry Geometrical Data Analysis
Roger Shepard (1929 - ) Prof. Emeritus of Social Science, Stanford University A cognitive scientist (Ph.D. in psychology 1955)and author of ‘‘Toward a Universal Law of Generalization for Psychological Science ’’ He is considered the father of spatial relations Geometrical Data Analysis
Science, vol. 237, Sept.1987 Does psychological science have any hope of achieving a law that is comparable in generality (if not in predictive accuracy) to Neuton’s universal law of gravitation ? Geometrical Data Analysis
Science, vol. 237, Sept.1987 Geometrical Data Analysis
Michael KirbyProfessor of Mathematics and Computer Science Graduate Program Director, Colorado State University An Empirical Approach to Dimensionality Reduction and the Study of Patterns Geometrical Data Analysis
(1890-1962) Sir Ronald Aylmer Fisher ‘‘Let the Data Speak for itself ’’ Geometrical Data Analysis
Feature Extraction Distance measure Embedding in Feature-Space Structure description Geometrical Data Analysis
Outlier Partitional Clustering Geometrical Data Analysis
Hierarchical Clustering Geometrical Data Analysis
Graph-theoretic Clustering Geometrical Data Analysis
Feature-selection Geometrical Data Analysis
Feature-normalization Geometrical Data Analysis
It’s an Ever Expanding field # 33 issue Geometrical Data Analysis
Clustering Ensembles Geometrical Data Analysis
Clustering Dynamics 1. Raw-data. 2. Feature-space. 3. Models Geometrical Data Analysis
Randomization Kernel-based Clustering Geometrical Data Analysis