Journal ArticleDOI
A K-Means Clustering Algorithm
J. A. Hartigan,M. A. Wong +1 more
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This article is published in Journal of The Royal Statistical Society Series C-applied Statistics.The article was published on 1979-03-01. It has received 10702 citations till now. The article focuses on the topics: Canopy clustering algorithm & Correlation clustering.read more
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Proceedings ArticleDOI
An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method
R. Anand,S. Veni,J Aravinth +2 more
TL;DR: The goal of proposed work is to diagnose the disease of brinjal leaf using image processing and artificial neural techniques and the proposed detection model based artiifical neural networks are very effective in recognizing leaf diseases.
Journal ArticleDOI
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation
Jinghua Zhang,Chen Li,Sergey Kosov,Marcin Grzegorzek,Kimiaki Shirahama,Tao Jiang,Changhao Sun,Changhao Sun,Zihan Li,Hong Li +9 more
TL;DR: In this article, a low-cost U-Net (LCU-Net) was proposed for the EM image segmentation task to assist microbiologists in detecting and identifying EMs more effectively.
Journal ArticleDOI
Implemented IoT-Based Self-Learning Home Management System (SHMS) for Singapore
TL;DR: A self-learning home management system developed and integrated for real time operation of a smart home, which displays its ability to customize the model for different types of environments compared to traditional smart home models.
Journal ArticleDOI
Flutter and post-flutter constraints in aircraft design optimization
Eirikur Jonsson,Cristina Riso,Christopher A. Lupp,Carlos E. S. Cesnik,Joaquim R. R. A. Martins,Bogdan I. Epureanu +5 more
TL;DR: The methods for flutter analysis in the context of aircraft design optimization are reviewed and methods for predicting post-flutter limit cycle oscillations due to the increasing impact of nonlinear effects on future aircraft are included.
Book ChapterDOI
The Analysis of Gene Expression Data: An Overview of Methods and Software
TL;DR: This chapter is a rough map of the book and provides a concise overview of data-analytic tasks associated with microarray studies, pointers to chapters that can help perform these tasks, and connections with selected data-Analytic tools not covered in any of the chapters.
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