eprintid: 8669 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/86/69 datestamp: 2023-11-09 16:20:35 lastmod: 2023-11-09 16:20:35 status_changed: 2023-11-09 16:13:14 type: conference_item metadata_visibility: show creators_name: Mathulamuthu, S.S. creators_name: Asirvadam, V.S. creators_name: Dass, S.C. creators_name: Gill, B.S. title: Cluster based regression model on dengue incidence using dual climate variables ispublished: pub keywords: Artificial intelligence; Learning systems; Process control; Regression analysis, Averaged silhouettes; Dengue Incidences; K-means clustering; K-means clusters; Machine learning techniques; Regression; Unsupervised techniques; World Health Organization, Climate models note: cited By 2; Conference of 2016 IEEE Conference on Systems, Process and Control, ICSPC 2016 ; Conference Date: 16 December 2016 Through 18 December 2016; Conference Code:127664 abstract: Dengue fever is one of the major health related issues as reported in World Health Organization (WHO). Therefore, a study is needed on the factors that influencing dengue incidences. This paper presents the influence of dengue incidence with dual climate variable in the 3D form scatter plot. Machine learning techniques such as clustering and regression is done to compare the sum square of residual (SSE) to conclude which climate variable is giving a big impact on dengue cases. Unsupervised techniques of K-means clustering is done to group the data accordingly. Averaged silhouette width method is used to define the number of K group. Each cluster the regression model is built and SSE is shown in table. Thus through the SSE the model validity can be known. © 2016 IEEE. date: 2017 publisher: Institute of Electrical and Electronics Engineers Inc. official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019974663&doi=10.1109%2fSPC.2016.7920705&partnerID=40&md5=adbb72129af5f18a42408f266ee393bb id_number: 10.1109/SPC.2016.7920705 full_text_status: none publication: Proceedings - 2016 IEEE Conference on Systems, Process and Control, ICSPC 2016 pagerange: 64-69 refereed: TRUE isbn: 9781509011810 citation: Mathulamuthu, S.S. and Asirvadam, V.S. and Dass, S.C. and Gill, B.S. (2017) Cluster based regression model on dengue incidence using dual climate variables. In: UNSPECIFIED.