This paper proposes a hybrid CBR system by introducing reduction technique in feature selection and cluster analysis in case organization.
Feature selection and case organization are crucial steps in case-based reasoning (CBR), since the retrieval efficiency and accuracy even the success of the ...
An integrated feature selection and cluster analysis techniques for case-based reasoning · Guo-Niu Zhu, Jie Hu, +2 authors. Ying-hong Peng · Published in ...
Although the clustering based approach has proved to be one of effective methods in some cases for protein function prediction, in most cases the prediction ...
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(2015) An Integrated Feature Selection and Cluster Analysis Techniques for Case-Based Reasoning. Engineering Applications of Artificial Intelligence, 39, 14 ...
Dec 14, 2021 · Feature selection for case representation is an essential phase of Case-Based Reasoning (CBR) system development.
This paper investigates feature selection to discard irrelevant features for dimensionality reduction and improving situation recognition process using ...
Duration: 1:08:29
Posted: Jul 15, 2021
Posted: Jul 15, 2021
Jan 25, 2020 · I am trying to implement k-means clustering on 60-70 features and I came across a post for feature selection technique on quora by Julian Ramos, ...
In this paper we consider an information system without decision attribute which can be found in many real life cases. A novel clustering technique is applied ...