Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction
نویسندگان
چکیده
منابع مشابه
An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
متن کاملCombining feature selection and feature reduction for protein classification
We use the n-grams descriptors for a protein classification task. As they are automatically generated, we obtain many irrelevant and/or redundant descriptors. In this paper, we evaluate various strategies of feature selection and feature reduction. First, we evaluate separately the efficiency of a filtering feature selection algorithm and a feature reduction on the basis of a singular value dec...
متن کاملMulti-level Dimensionality Reduction Methods Using Feature Selection and Feature Extraction
This paper presents a novel feature selection method called Feature Quality (FQ) measure based on the quality measure of individual features. We also propose novel combinations of two level and multi level dimensionality reduction methods which are based on the feature selection like mutual correlation, FQ measure and feature extraction methods like PCA(Principal Component Analysis)/LPP(Localit...
متن کاملBi-level dimensionality reduction methods using feature selection and feature extraction
Variety of feature selection methods have been developed in the literature, which can be classified into three main categories: filter, wrapper and hybrid approaches. Filter methods apply an independent test without involving any learning algorithm, while wrapper methods require a predetermined learning algorithm for feature subset evaluation. Filter and wrapper methods have their drawbacks and...
متن کاملAn Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification
The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...
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: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33012280