منابع مشابه
Analysis of tactile and visual confusion matrices.
Confusion matrices were compiled for uppercase letters and for braille characters presented to observers in two ways: as raised touch stimuli and as visual stimuli that had been optically filtered of their higher spatial frequencies. These and other existing matrices were subjected to a number of analyses, including the choice model and hierarchical clustering. The strong similarity of the visu...
متن کاملStatistical Significance and Normalized Confusion Matrices
When assessing map accuracy, confusion matrices are frequently statistically compared using kappa. While kappa allows individual matrix categories to be analyzed with respect to either omission or commission error rates, kappa is not used to compare individual matrix categories with respect to both rates concurrently. When this concurrent comparison is desired, the ma trices are typically norma...
متن کاملConfusion Matrix-based Feature Selection
This paper introduces a new technique for feature selection and illustrates it on a real data set. Namely, the proposed approach creates subsets of attributes based on two criteria: (1) individual attributes have high discrimination (classification) power; and (2) the attributes in the subset are complementary that is, they misclassify different classes. The method uses information from a confu...
متن کاملAutomatic Phone Clustering Based on Confusion Matrices
Phone recognition experiments give information about the confusions between phones. Grouping the most confusable phones and making a multilevel hierarchical classification should improve phone recognition. In this paper a clustering method is investigated, based on phone confusion matrix, for the data-driven generation of phonetic broad classes (PBC) of the Portuguese language. The method is ba...
متن کاملDetecting Features from Confusion Matrices Using Generalized Formal Concept Analysis
We claim that the confusion matrices of multiclass problems can be analyzed by means of a generalization of Formal Concept Analysis to obtain symbolic information about the feature sets of the underlying classification task. We prove our claims by analyzing the confusion matrices of human speech perception experiments and comparing our results to those elicited by experts.
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ژورنال
عنوان ژورنال: Perception & Psychophysics
سال: 1973
ISSN: 0031-5117,1532-5962
DOI: 10.3758/bf03211185