Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means

Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms

Supervised and Unsupervised Neural Network for Classification of Satellite Images

This paper is of classification of remote sensed Multispectral satellite images using supervised and unsupervised neural networks. Feature extraction techniques like mean, variance and standard deviation are used. Higher resolution causes higher spectral variability within a class and lessens the statistical separability among different classes in a traditional pixel-based classification. Sever...

Diabetes Classification Using K-means

This paper presents a survey on proposed quantized techniques in medical field to understand which age group of people are being affecting by diabetes. The overall aspiration of the diabetes data mining procedure is to extract information from diabetes data set and convert it into a comprehensible arrangement for further use. This paper deals with diabetes and proposed a data mining system usin...

Genetic Algorithms for the Unsupervised Classification of Satellite Images

Traditionally, an unsupervised classification divides all pixels within an image into a corresponding class pixel by pixel; the number of clusters usually needs to be fixed a priori by a human analyst. In general, the spectral properties of specific information classes change with the seasons, and therefore, the relation between object class and spectral cluster is not constant over time. In ad...

Machine learning in APOGEE: Unsupervised spectral classification with K-means

Context. The data volume generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human interaction or are computationally expensive. In this scenario, machine learning, and unsupervised clustering algorithms in particular offer interesting alternatives. The Apache Point Observatory Galactic Evolution Experiment (APOGEE) offer...