A Hybrid Clustering Approach for Diagnosing Medical Diseases

被引：10

作者：

Simic, Svetlana ^{[1
]}

Bankovic, Zorana ^{[2
]}

Simic, Dragan ^{[3
]}

Simic, Svetislav D. ^{[3
]}

机构：

[1] Univ Novi Sad, Fac Med, Hajduk Veljkova 1-9, Novi Sad 21000, Serbia

[2] Frontiers Media SA, Pozuelo Alarcon Sn, Madrid, Spain

[3] Univ Novi Sad, Fac Tech Sci, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018) | 2018年 / 10870卷

关键词：

Data clustering; Maximum likelihood estimates clustering; Number of clusters; Fuzzy partition method;

D O I：

10.1007/978-3-319-92639-1_62

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Clustering is one of the most fundamental and essential data analysis tasks with broad applications. It has been studied extensively in various research fields, including data mining, machine learning, pattern recognition, and in scientific, engineering, social, economic, and biomedical data analysis. This paper is focused on a new strategy based on a hybrid model for combining fuzzy partition method and maximum likelihood estimates clustering algorithm for diagnosing medical diseases. The proposed hybrid system is first tested on well-known Iris data set and then on three data sets for diagnosing medical diseases from UCI data repository.

引用

页码：741 / 752

页数：12

共 50 条

[21] SA-PSO-GK plus plus : A New Hybrid Clustering Approach for Analyzing Medical Data
Abdo, Amani
Abdelkader, Omnia
Abdel-Hamid, Laila
IEEE ACCESS, 2024, 12 : 12501 - 12516
[22] Clustering spatial data with a hybrid EM approach
Tianming Hu
Sam Yuan Sung
Pattern Analysis and Applications, 2005, 8 : 139 - 148
[23] Clustering spatial data with a hybrid EM approach
Hu, TM
Sung, SY
PATTERN ANALYSIS AND APPLICATIONS, 2005, 8 (1-2) : 139 - 148
[24] A Parallel Clustering Approach for Hybrid Data Discovery
Gaceanu, Radu D.
Pop, Horia F.
INFORMATICS 2013: PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON INFORMATICS, 2013, : 240 - 245
[25] Hybrid approach to clustering various lengths video
Mashtalir S.V.
Stolbovoi M.I.
Yakovlev S.V.
Journal of Automation and Information Sciences, 2019, 51 (04) : 26 - 35
[26] A Hybrid Approach for Clustering Uncertain Time Series
Ma R.
Zhu X.
Yan L.
Journal of Computing and Information Technology, 2020, 28 (04) : 255 - 267
[27] A three-stage hybrid clustering system for diagnosing children with primary headache disorder
Simic, Svetlana
Sakac, Sladana
Bankovic, Zorana
Villar, Jose R.
Luis Calvo-Rolle, Jose
Simic, Svetislav D.
Simic, Dragan
LOGIC JOURNAL OF THE IGPL, 2023, 31 (02) : 300 - 313
[28] A new medical imaging technique for diagnosing dermatologic diseases: A clue to treatment choices
Fioranelli, Massimo
Sepehri, Alireza
Roccia, Maria Grazia
Carolina, Aracena Jahaira
Binic, Iva
Golubovic, Masa
Tirant, Michael
Thuong, Nguyen Van
Sigova, Julia
Lotti, Torello
Beesham, Aroonkumar
DERMATOLOGIC THERAPY, 2020, 33 (03)
[29] A Novelty Approach to Retina Diagnosing Using Biometric Techniques With SVM and Clustering Algorithms
Szymkowski, Maciej
Saeed, Emil
Omieljanowicz, Miroslaw
Omieljanowicz, Andrzej
Saeed, Khalid
Mariak, Zofia
IEEE ACCESS, 2020, 8 (08): : 125849 - 125862
[30] Mining interesting patterns in time-series medical databases: A hybrid approach of multiscale matching and rough clustering
Hirano, S
Tsumoto, S
AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE, 2002, : 1043 - 1043

← 1 2 3 4 5 →