Feature Selection Based on Distance Measurement
نویسندگان
چکیده
منابع مشابه
Bhattacharyya distance feature selection
A recursive algorithm named Bhattacharyya distance feature selection for selecting a real-optimum feature under normal multidistribution is presented. The key of this method is to change the problem of minimizing the criterion of sum of the upper bound of error probability of every two class pair in subspace to a problem of solving nonlinear matrix equation in multiclass problem under orthonorm...
متن کاملA Geometric Theory of Feature Selection and Distance-Based Measures
Feature selection measures are often explained by the analogy to a rule to measure the “distance” of sets of features to the “closest” ideal sets of features. An ideal feature set is such that it can determine classes uniquely and correctly. This way of explanation was just an analogy before this paper. In this paper, we show a way to map arbitrary feature sets of datasets into a common metric ...
متن کاملA Distance-Based Branch and Bound Feature Selection Algorithm
There is no known efficient method for selecting k Gaussian features from n which achieve the lowest Bayesian classification error. We show an example of how greedy algorithms faced with this task are led to give results that are not optimal. This motivates us to propose a more robust approach. We present a Branch and Bound algorithm for finding a subset of k independent Gaussian features which...
متن کاملFeature extraction based on the Bhattacharyya distance
In this paper, we present a feature extraction method by utilizing an error estimation equation based on the Bhattacharyya distance. We propose to use classi3cation errors in the transformed feature space, which are estimated using the error estimation equation, as a criterion for feature extraction. The construction of linear transformation for feature extraction is conducted using an iterativ...
متن کاملMethod on Feature Selection of Hyperspectral Images Based on Bhattacharyya Distance
Band selection aims to recognize the objects effectively. We should distinguish the objects by utilizing their spectral curve properties. B-Distance is one of the commonly used standards. It is one kind of statistic distance. It can more reasonably measure the distance between different categories in super multi-dimensional space. The hyperspectral data used in this paper is obtained by the sen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of New Media
سال: 2021
ISSN: 2579-0110
DOI: 10.32604/jnm.2021.018267