4 citations · 11 across the 15 of their papers we have counts for
6 papers · 1 filter
Distortion in Correspondence Analysis and in Taxicab Correspondence Analysis: A Comparison
Vartan Choulakian
Distortion is a fundamental well-studied topic in dimension reduction papers, and intimately related with the underlying intrinsic dimension of a mapping of a high dimensional data…
Scale Invariant Correspondence Analysis
Vartan Choulakian
Correspondence analysis is a dimension reduction method for visualization of nonnegative data sets, in particular contingency tables ; but it depends on the marginals of the data s…
Quantification of intrinsic quality of a principal dimension in correspondence analysis and taxicab correspondence analysis
Vartan Choulakian
Collins(2002, 2011) raised a number of issues with regards to correspondence analysis (CA), such as: qualitative information in a CA map versus quantitative information in the rele…
Uncovering and Displaying the Coherent Groups of Rank Data by Exploratory Riffle Shuffling
Vartan Choulakian, Jacques Allard
Let n respondents rank order d items, and suppose that d << n. Our main task is to uncover and display the structure of the observed rank data by an exploratory riffle shuffling pr…
Comments on "correspondence analysis makes you blind"
Vartan Choulakian
Collins' (2002) statement "correspondence analysis makes you blind" followed after his seriation like description of a brand attribute count data set analyzed by Whitlark and Smith…
Globally Homogenous Mixture Components and Local Heterogeneity of Rank Data
V Choulakian
The traditional methods of finding mixture components of rank data are mostly based on distance and latent class models; these models may exhibit the phenomenon of masking of group…