Fixed Voters Clustering to Determine the Level of Beginner Voters using Data Mining Techniques
Journal Title: Engineering and Technology Journal - Year 2020, Vol 5, Issue 11
Abstract
Data mining clustering technique is used to classify the level of beginner voters using the K-Means method. Fixed voter clusters are used for decision making for stakeholders regarding the information on beginner voters in each district and sub-district. The error calculation method is used to measure the level of error value for each distance calculation used, the distance calculation method used ie Euclidean, Manhattan, and Minkowski Distance with the Means Square Error (MSE) approach to measure the level of the error value. The calculation results show that the lowest error occurs in the calculation of the Minkowski Distance model 3 cluster, where the error rate is 11%, while the highest error rate occurs in the calculation of the Manhattan Distance model 5 cluster, which is 38%
Authors and Affiliations
Ummul Hairah , Edy Budiman
Temporal Condensation of Tamil News
Since the dawn of the Internet, we have been inundated with an excess of information. The volume of information available on the Internet is expected to grow exponentially. This brings a need for summarization of informa...
Methods of Geological Environment Protection of Luoyang Zhengxingsu Coal Mine
Taking Luoyang Zhengxingsu coal mine as an example, according to the status quo of mine geological environment, the impact assessment of mine geological environment and the protection and management of mine geological en...
Structures with Indole Rings Present in Natural Products
This article presents the general notions, chemical structures, physico-chemical properties, biomedical applications and the various natural sources of indole compounds that researchers in the field have used to extract...
SCADA Implementation on Solar Panel Electricity Consumption Monitoring and Regulation System
In an effort to motivate students and understand application of SCADA to the Solar Panel system which is one source potential non - fossil energy to be used as solution to meeting sustainable energy needs. Where in its...
Research on Human Pose Estimation Model Based on Long-Range Fine-Grained Modeling
To address the issues of lacking long-range spatial position learning ability and excessive loss of fine-grained feature information during spatial feature pooling in human pose estimation models, a novel human pose esti...