Abstract: Document clustering is an area that deals with the unsupervised grouping of text documents into meaningful groups, usually representing topics in the document collection. It is one way to organize information without requiring prior knowledge about the classification of documents. The well-known K-means clustering algorithm allows users to specify the number of clusters. However, if the pre-specified number of clusters is modified, the precision of each result also changes. To solve this problem, this paper proposes a new clustering algorithm based on the Kea keyphrase extraction algorithm. In this paper, documents are grouped into several clusters like K-means, but the number of clusters is automatically determined by finding out the similarities between documents and the extracted key phrases. It also calculates F-measure value using precision and recall which gives the better clusters.

• Publication Date: 03-Feb-2020
• DOI: 10.15224/978-981-07-1403-1-185
• Views: 0
• Downloads: 0

Abstract: Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ from other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and SEP and DEEC are already best known for maintaining energy efficiency. In this paper, we will compare these three protocols in terms of packet transmission, energy dissipation and number of nodes alive and stability period and we will discuss the advantage and disadvantage of these protocols under various conditions

• Publication Date: 03-Feb-2020
• DOI: 10.15224/978-981-07-1403-1-198
• Views: 0
• Downloads: 0