Due to heavy energy constraints in WSNs clustering is an efficient way to manage the energy in sensors. There are many methods already proposed in the area of clustering and research is still going on to make clustering more energy efficient. In our paper we are proposing a minimum spanning tree based clustering using divide and conquer approach. The MST based clustering was first proposed in 1...

Since the number of electronics non-segmented language documents is growing very fast, efficient document clustering techniques for non-segmented languages are needed as a tool in today’s world where a lot of documents are stored and retrieved electronically. It enables one to group the similar documents using keywords or terms of the clusters. Thus document clustering can be used to group and ...

Spectral clustering is a novel clustering method which can detect complex shapes of data clusters. However, it requires the eigen decomposition of the graph Laplacian matrix, which is proportion to O(n) and thus is not suitable for large scale systems. Recently, many methods have been proposed to accelerate the computational time of spectral clustering. These approximate methods usually involve...

Problem statement: Lot-size is the clustering of items for transportation or manufacturing processes occurring at the same time. The issue in lot-size problem is to design production processes so that the feasible production quantities are equal to customer demand quantities and the timing of production is such that inventory positions are almost zero. Approach: In this study, we explore the mu...

Hypertension is an event that causes a lot of data has not been processed properly. According to the Central Bureau Statistics Kupang City, hypertension in top 10 with highest number sufferers City. Through official website, namely kupangkota.bps.go.id third place diseases suffered by community 2018 28,701 cases and increase 6,935 2019 course it will following year. In this study clustering usi...