Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

31

IDEAL
2000
Springer

favoriteEmaildiscussreport

114views Intelligent Agents» more IDEAL 2000»

A Note on Covariances for Categorical Data

14 years 2 months ago

A Note on Covariances for Categorical Data

Download www.dm-lab.ws

Generalization of the covariance concept is discussed for mixed categorical and numerical data. Gini's definition of variance for categorical data gives us a starting point to address this issue. The value difference in the original definition is changed to a vector in value space, giving a new definition of covariance for categorical and numerical data. It leads to reasonable correlation coefficients when applied to typical contingency tables.

Takashi Okada

Real-time Traffic

Categorical Data | Covariance Concept | IDEAL 2000 | Intelligent Agents | Numerical Data |

claim paper

Related Content

» Covariance and PCA for Categorical Variables

» A Hierarchical Approach to Encoding Medical Concepts for Clinical Notes

» A new autocovariance leastsquares method for estimating noise covariances

» Active Learning with Gaussian Processes for Object Categorization

» Empirical Bayes analysis of single nucleotide polymorphisms

» Examining associations between FMRI and EEG data using canonical correlation analysis

» Parametric Embedding for Class Visualization

» Joint Recovery And Segmentation Of Polarimetric Images Using A Compound Mrf And Mixture Mo...

» A Survey on Transfer Learning

Post Info
More Details (n/a)

Added	25 Aug 2010
Updated	25 Aug 2010
Type	Conference
Year	2000
Where	IDEAL
Authors	Takashi Okada

Comments (0)