Abstract A new sociometric technique is described which is generally more powerful than prior methods for analyzing the structure of bounded human groups less than about 150 in size. The method is applied to a female co

Source URL: nersp.nerdc.ufl.edu

• Matrices
• Bioinformatics
• Graph drawing
• Organizational theory
• Sociogram
• Sociometry
• Matrix
• Peter Killworth
• Distance matrix

Diagnostic cluster analysis of mathematics skills Yoon Soo Park and Young-Sun Lee Teachers College, Columbia University, New York, USA Clustering and similarity trees are effective techniques for grouping and visualizing

Source URL: ierinstitute.org

• Educational research
• Multivariate statistics
• Psychometrics
• Trends in International Mathematics and Science Study
• Bioinformatics
• Attribute hierarchy method
• Cluster analysis
• Hierarchical clustering
• K-means clustering
• Distance matrix
• Multidimensional scaling
• Mahalanobis distance

This template contains a style sheet followed by Cartography and Geographic Information Science (CaGIS)

Source URL: www.cartogis.org

• Vectors
• Digital signal processing
• RamerDouglasPeucker algorithm
• Sinuosity
• Pi
• Euclidean vector
• Distance
• Simplification
• Matrix

LEARNING A FEATURE SPACE FOR SIMILARITY IN WORLD MUSIC Maria Panteli, Emmanouil Benetos, Simon Dixon Centre for Digital Music, Queen Mary University of London, United Kingdom {m.panteli, emmanouil.benetos, s.e.dixon}@qmu

Source URL: wp.nyu.edu

• Multivariate statistics
• Robust statistics
• Outlier
• K-nearest neighbors algorithm
• RANSAC
• Mahalanobis distance
• Non-negative matrix factorization
• Principal component analysis
• Linear discriminant analysis
• Music information retrieval
• Feature
• Data analysis

MICHAEL CYSOUW (Leipzig) MIHAI ALBU (Leipzig) ANDREAS DRESS (Shanghai) Analyzing feature consistency using dissimilarity matrices In this note, we present three methods to discover the most consistent features in the Wor

Source URL: cysouw.de

• Covariance and correlation
• Bioinformatics
• Matrix
• Coherence
• Linear regression
• Correlation and dependence
• Distance matrix

CONVEXITY OF THE IMAGE OF A QUADRATIC MAP VIA THE RELATIVE ENTROPY DISTANCE Alexander Barvinok May 2013 Abstract. Let ψ : Rn −→ Rk be a map defined by k positive definite quadratic

Source URL: www.math.lsa.umich.edu

• Mathematics
• Mathematical analysis
• Algebra
• Logarithms
• Matrices
• Positive-definite matrix
• Convex function
• Natural logarithm
• Quadratic form
• Inverse trigonometric functions
• Beta distribution

Learning Local Invariant Mahalanobis Distances Ethan Fetaya Weizmann Institute of science ETHAN . FETAYA @ WEIZMANN . AC . IL

Source URL: jmlr.org

• Algebra
• Mathematics
• Statistics
• Real algebraic geometry
• Multivariate statistics
• Statistical classification
• Mahalanobis distance
• Statistical distance
• Linear algebra
• Support vector machine
• Large margin nearest neighbor
• Matrix

Microsoft Word - KlippelJan11CaGISText.doc

Source URL: www.cognitivegiscience.psu.edu

• Dynamic programming
• Quantitative linguistics
• Psychometrics
• Geostatistics
• Cognition
• Matrix
• Levenshtein distance
• Similarity
• G factor
• Cluster analysis
• Cognitive science

Research Paper The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS Qiuju ZHOU1, Fuhai LENG1† & Loet LEYDESDORFF2 National Science Library, Chinese Academy of Sciences, Beijing, Chi

Source URL: 159.226.100.150

• Multivariate statistics
• Bioinformatics
• Matrix theory
• Factor analysis
• Matrices
• SPSS
• Hierarchical clustering
• Cluster analysis
• Matrix
• Distance matrix
• Co-occurrence matrix
• Similarity measure

AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 8 6 : Euclidean Distance Matrix Analysis: A Coordinate-Free Approach for Comparing Biological Shapes Using Landmark Data SUBHASH LELE AND JOAN T. RICHTSMEIER

Source URL: www.stat.ualberta.ca