Contents
What does the chi2 tell you?
The chi-squared statistic is a single number that tells you how much difference exists between your observed counts and the counts you would expect if there were no relationship at all in the population. A low value for chi-square means there is a high correlation between your two sets of data.
What is chi squared distance?
Chi-square distance is one of the distance measures that can be used as a measure of dissimilarity between two histograms and has been widely used in various applications such as image retrieval, texture and object classification, and shape classification [9].
What is Chi distance?
Chi-square distance calculation is a statistical method, generally measures similarity between 2 feature matrices. Such distance is generally used in many applications like similar image retrieval, image texture, feature extractions etc. Below given 2 different methods for calculating Chi-square Distance.
Which is better chi square or histogram intersection?
There are many ways of solving this task, but authors of LBP method emphasize (Face Description with Local Binary Patterns: Application to Face Recognition. 2004) that Chi-Square distance perfoms better than Histogram intersection and Log-likelihood statistic. Authors also show a formula of Chi-Square distance:
How is the distance between two histograms measured?
Abstract A distance measure between two histograms has applications in feature selection, image indexing and retrieval, pattern classication andclustering, etc. We propose a distance between sets of measurement values as a measure of dissimilarity of two histograms.
How is chisquare distance used in correspondence analysis?
Note the similarity in these formulas with squared euclidean distance, that is not coincidence, chisquare distance is a kind of weighted euclidean distance. For that reason, the formulas in the OP is usually put under a root sign to get distances. In the following we follow this. Chisquare distance is used also in correspondence analysis.
What’s the difference between two asymmetric histograms?
The difference between them is only a constant factor 1 2, which is unimportant as long as you just chooses one form consistently (though the version with extra factor 1 2 is better if you want to compare with the asymmetric form).