The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Hybrid GSA-K-Mean Classifier Algorithm to Predict Diabetes Mellitus
|
|
Author(s): Rojalina Priyadarshini (School of Computer Science & Engineering, KIIT University, Bhubaneswar, India), Rabindra Kumar Barik (School of Computer Application, KIIT University, Bhubaneswar, India), Nilamadhab Dash (Department of Information Technology. C.V. Raman College of Engineering, Bhubaneswar, India), Brojo Kishore Mishra (Department of Information Technology, C. V. Raman College of Engineering, Bhubaneswar, India)and Rachita Misra (Department of Information Technology, C. V. Raman College of Engineering, Bhubaneswar, India)
Copyright: 2020
Pages: 15
Source title:
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-2460-2.ch030
Purchase
|
Abstract
Lots of research has been carried out globally to design a machine classifier which could predict it from some physical and bio-medical parameters. In this work a hybrid machine learning classifier has been proposed to design an artificial predictor to correctly classify diabetic and non-diabetic people. The classifier is an amalgamation of the widely used K-means algorithm and Gravitational search algorithm (GSA). GSA has been used as an optimization tool which will compute the best centroids from the two classes of training data; the positive class (who are diabetic) and negative class (who are non-diabetic). In K-means algorithm instead of using random samples as initial cluster head, the optimized centroids from GSA are used as the cluster centers. The inherent problem associated with k-means algorithm is the initial placement of cluster centers, which may cause convergence delay thereby degrading the overall performance. This problem is tried to overcome by using a combined GSA and K-means.
Related Content
|
Jaime Salvador, Zoila Ruiz, Jose Garcia-Rodriguez.
© 2020.
12 pages.
|
|
Stavros Pitoglou.
© 2020.
11 pages.
|
|
Mette L. Baran.
© 2020.
13 pages.
|
|
Yingxu Wang, Victor Raskin, Julia M. Rayz, George Baciu, Aladdin Ayesh, Fumio Mizoguchi, Shusaku Tsumoto, Dilip Patel, Newton Howard.
© 2020.
15 pages.
|
|
Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang.
© 2020.
18 pages.
|
|
Nayem Rahman.
© 2020.
24 pages.
|
|
Amir Manzoor.
© 2020.
27 pages.
|
|
|