A General Feature Abstraction Method for Clustering Algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems

Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...

متن کامل

A modified genetic algorithm for feature clustering

A new genetic algorithm (GA) based on feature clustering with an energy function is proposed for obtaining optimal segmentation. In the proposed algorithm, which we call the modified genetic algorithm (MGA), the length of each genome is the number of features and each individual (genome) represents one assignment of the input-features to labels. The energy function, which is used as a fitness f...

متن کامل

A Filter Feature Selection Method for Clustering

High dimensionnal data is a challenge for the KDD community. Feature Selection (FS) is an efficient preprocessing step for dimensionnality reduction thanks to the removal of redundant and/or noisy features. Few and mostly recent FS methods have been proposed for clustering. Furthermore, most of them are ”wrapper” methods that require the use of clustering algorithms for evaluating the selected ...

متن کامل

A Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems

Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...

متن کامل

Fuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem

This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and fl...

متن کامل

ذخیره 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: Procedia Computer Science

سال: 2019

ISSN: 1877-0509

DOI: 10.1016/j.procs.2019.12.008