An Empirical Study of Vehicle Routing Problem with Clustering Approach for Medical Consumable Materials Delivery
The present study proposed to improve the healing supply distribution routing. Repetition, delay, and cross-precinct sequence of transmittal cause extra transportation cost. The distribution destroying...
An Efficient K-means Algorithm: Generating Clusters Dynamically in MapReduce Framework
Background: K-Means is a popular partition-based clustering technique that divides an input dataset into a collection of groups. K-Means is a popular technique because of...
Almost Optimal Algorithms for Detecting Near-Duplicates in Domain-Independent Big Data
In this chapter, we propose Merge-Filter Representative-based Clustering (Merge-Filter-RC), a general domain-independent method for finding near-duplicate records within and across different data sources. Following that,...
Review of Data Mining Techniques in Environmental System: An Advanced Approach
Medical imaging, network traffic analysis, environmental systems, and other sectors have benefited from the development of diverse data mining methods. The environment system is now...
The Effect of Alpha Oscillation Network Decoding on Driver Alertness
This research describes a novel way to employing artificial neural networks (ANNs) to improve transmission line protection. The suggested technique feeds four different neural network...
Assessment of Cluster Tendency Methods for Visualizing the Data Partitions
Clustering is a frequently used technique for grouping data objects based on similarity features. To generate similarity features, similarity metrics such as Euclidean, cosine, and...