The authors propose clustering based multistep iterative algorithm. The important step is where terms are grouped by …

-world data as road accidents are uncertain. In this article, the authors are comparing three different clustering techniques …: latent class clustering (LCC), k-modes clustering and BIRCH clustering, on road accident data from an Indian district …

clustering approach. During the investigation, the authors observed that the k-anonymization based clustering approaches all the … generates an optimal cluster with lesser information loss as compared with the existing clustering approaches. …

clustering (k-means) and a literature review to define types of speeches (e.g. written or oral), 2) classification methods via …

, which plays an important role in network lifetime. Low Energy Adaptive Clustering Hierarchy (LEACH) is a hierarchical … new clustering and selecting cluster head scheme with the goal of optimizing the energy consumption in WSNs. …

sensor networks (WSN) are one of the keys enabling the IoT. Clustering in WSNs plays an important role since it allows … the WSNs. Here, a heuristic approach, coverage aware load balanced clustering, has been developed in order to increase the …

the application of test cases. Hence, execution profiles are captured and a new execution profile-based clustering …

. Authors classify active users more accurately to found clusters. Threshold values are used in both clustering and …

show that the hierarchical clustering technique using a fully-automated threshold, presents high performance in terms of … authorship attribution accuracy, especially with character trigrams and ending bigrams, where the clustering recognition rate … quite interesting by showing high clustering performances, mainly with Words. …