Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Performance analysis of Clustering algorithms for dyslexia detection Subject The topic of the resource Bat K-means; Dyslexia; Fuzzy c-means; K-means; learning disorder; SEN; Special Education Need Description An account of the resource Clustering algorithms plays vital role in analysing and evaluating vast number of high dimensional health care data ranging from medical data repositories, clinical data, electronic health records, body sensor networks, IoT devices, and so on. Dyslexia, a learning disorder is a common problem that is found in children during the initial stages of formal education, which is detected as mild to severe. It can also be one of the reasons of failure in the school. According to the literature this difficulty is commonly seen among Special Education Need children. There are few studies focussed on the application of classification algorithms for detecting the presence of dyslexia. This paper focusses one of SDG, goal 4:Quality Education, as dyslexic students can be given equal and quality education. Analyses of an online gamified test-based dataset is done by applying various clustering techniques such as K-means, Fuzzy c-means, and Bat K-means to assess their effectiveness in detecting the problem dyslexia. As the dataset is large, it is observed that usage of clustering methods gives us gain insight into the distribution of data to observe characteristics of each cluster. The clustering results are evaluated using root mean squared error (RMSE), mean absolute error (MAE), Xie-Beni index and it is found K Means outperforms FCM, Bat K Means algorithm for analysing different levels of the learning disorder. The Electrochemical Society Creator An entity primarily responsible for making the resource Sharannavar A.; Banu P.K.N. Source A related resource from which the described resource is derived ECS Transactions, Vol-107, No. 1, pp. 10021-10034. Publisher An entity responsible for making the resource available Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1149/10701.10021ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.10021ecst</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530666&amp;doi=10.1149%2F10701.10021ecst&amp;partnerID=40&amp;md5=a5853ead156ef36d78b62edc85b7fe5b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130530666&amp;doi=10.1149%2f10701.10021ecst&amp;partnerID=40&amp;md5=a5853ead156ef36d78b62edc85b7fe5b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19386737; ISBN: 978-160768539-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharannavar A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 29, India; Banu P.K.N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 29, India