A generalized histogram clustering scheme for multidimensional image data
References (13)
- et al.
A non-parametric clustering scheme for Landsat
Pattern Recognition
(1977) - et al.
A rapid method to generate spectral theme classification of Landsat imagery
Remote Sensing Envir.
(1975) A contextual classification method for recognizing land use patterns in high resolution remotely sensed data
Pattern Recognition
(1982)Practical aspects related to automated classification of Landsat imagery using look-up tables
- et al.
A clustering scheme for multispectral images
IEEE Trans. Syst. Man Cybernet. SMC-8
(1978) - et al.
Computer implementation of a four-dimensional clustering algorithm
Research Report 76-2 of the Canada Center for Remote Sensing
(1976)
There are more references available in the full text version of this article.
Cited by (32)
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
2022, Engineering Applications of Artificial IntelligenceCitation Excerpt :Several works proposing the general concept for mode identification has been reported in the literature (Jain and Dubes, 1988). This clustering method has been used extensively in engineering, mostly in remote sensing applications (Wharton, 1983). In some other cases, clusters are formed based on the data points density within a region.
Real-time adaptive clustering of flow cytometric data
1993, Pattern RecognitionImage segmentation by a parallel, non-parametric histogram based clustering algorithm
1990, Pattern RecognitionA sequential initialization technique for vector quantizer design
1988, Pattern Recognition LettersNoise, histogram and cluster validity for Gaussian-mixtured data
1987, Pattern RecognitionA rapid, non-parametric clustering scheme for flow cytometric data
1987, Pattern Recognition
Copyright © 1983 Published by Elsevier B.V.