Application of clustering technique in writing analytical exposition textAndi SadapottoAndi AsrifanNur Qhadri NatsirPROCEEDINGS OF THE 65th TEFLIN INTERNATIONAL CONFERENCE
Sari, Irma Riantika, 2017. The Effectiveness of Clustering Technique in Teaching Writing on Recount Text at the Eighth Grade Students of SMPN 1 Mlarak in Academic Year 2016/2017. A thesis, English Department of Faculty of Tarbiyah of (IAIN) Ponorogo. Advisor Mrs. Aries Fitriani, M.Pd收藏...
The PAM method was proposed in 1987 and is a classical partitioning technique of clustering that clusters the dataset of n objects into k clusters. Hierarchical clustering (Hcluster)5 is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical ...
The Multi-Task Learning (MTL) technique has been widely studied by worldwide researchers. The majority of current MTL studies adopt the hard parameter shar
Mohammad Simjoo: Conceptualization, Methodology, Validation, Data curation, Supervision, Writing - Review & Editing. Database In this paper, the history of 24 oil wells, including monthly oil, gas, and water production rates, i.e., in total, 400 recording points for each well, are used. ...
In the fast-paced and data-centric world of machine learning, clustering emerges as a fundamental technique for organizing datasets into meaningful groups. This involves assembling similar entities into clusters that maintain high internal consistency while ensuring clear distinction between different clusters...
Web search results clustering is an increasingly popular technique for providing useful grouping of web search results, or snippets, into clusters. The Lin... A Sameh,A Kadray - 《International Journal of Research & Reviews in Computer Science》 被引量: 19发表: 2010年 ...
Reinforcement learning is a model-free technique where an agent learns from its environment for learning the optimal policies. We propose an experience-driven approach based on an Actor-Critic based Deep Reinforcement learning framework (AC-DRL) for efficiently selecting the cluster head (CH) for ...
The Vincent algorithm [10] uses the randomly shifted quadtrees technique to reduce the running time to close to the near-linear time O˜(nkd). The Alisa algorithm [11] utilizes location-sensitive hashing techniques to reduce communications for local differential privacy models to once. However,...
Clustering is a widely-used unsupervised learning technique to find patterns and structure in data. Clustering algorithms group the data points into distinct clusters such that points within a cluster share similar characteristics on the basis of their distance, density or other spatial properties, whil...