Hybrid K-Means Clustering for Grouping the Special Children Using Computational Techniques

Computers have become an integral part of human existence, and there is an enormous amount of data available all around the world that may be utilised to extract useful and relevant information. It benefits the company in a variety of ways, including decision assistance and decision making. As a result, an effective data mining methodology is becoming increasingly important for all businesses. The current research work is about data analysis and outcomes interpretation. Data analysis has been attempted in accordance with the study’s aims. Data from the special children dataset was categorized, tabulated, and evaluated. The t-test was used to determine the significance of the difference between the means of two independent groups, as well as product moment correlation between variables. A research on the efficacy of counselling and motivation for partly special children’ socio-personal adjustment and degree of accomplishment motivation might be undertaken. The impact of a life skills training programme on partly those children socio-personal adjustment and success motivation. The impact of an ICT-based language curriculum on linguistic efficiency and personal growth.