Quadratic mutual information feature selection

Sluga, Davor (avtor), Lotrič, Uroš (avtor)

We propose a novel feature selection method based on quadratic mutual information which has its roots in Cauchy–Schwarz divergence and Renyi entropy. The method uses the direct estimation of quadratic mutual information from data samples using Gaussian kernel functions, and can detect second order non-linear relations. Its main advantages are: (i) unified analysis of discrete and continuous data, excluding any discretization; and (ii) its parameter-free design. The effectiveness of the proposed method is demonstrated through an extensive comparison with mutual information feature selection (MIFS), minimum redundancy maximum relevance (MRMR), and joint mutual information (JMI) on classification and regression problem domains. The experiments show that proposed method performs comparably to the other methods when applied to classification problems, except it is considerably faster. In the case of regression, it compares favourably to the others, but is slower.

• Jezik: Angleški jezik
• Ključne besede: feature selection, information-theoretic measures, quadratic mutual information, Cauchy-Schwarz divergence
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2017
• Št. strani: 16 str.
• Številčenje: Vol. 19, iss. 4, art. 157
• PID: 20.500.12556/RUL-131260
• UDK: 004
• ISSN pri članku: 1099-4300
• DOI: 10.3390/e19040157
• COBISS.SI-ID: 1537405123
• Datum objave v RUL: 24.09.2021

Gradivo je del revije

• Naslov: Entropy
• Skrajšan naslov: Entropy
• Založnik: MDPI
• ISSN: 1099-4300
• COBISS.SI-ID: 515806233

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.04.2017

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: izbira značilk, informacijsko-teoretične mere, kvadratna medsebojna informacija, Cauchy-Schwarzova divergenca

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0241
• Naslov: Sinergetika kompleksnih sistemov in procesov