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A dissimilarity criterion for sequential fuzzy isodata
Fuzzy Sets and Systems, 1987A criterion for dissimilarity is provided so that new prototypes may be discovered when sample feature vectors are received sequentially in time, as input to the fuzzy ISODATA process.
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Pyramid linking is a special case of ISODATA
IEEE Transactions on Systems, Man, and Cybernetics, 1983It is shown that the `pyramid linking' method of image segmentation can be regarded as a special case of the ISODATA clustering algorithm and hence is guaranteed to converge.
Simon Kasif, Azriel Rosenfeld
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Palmprint recognition based on isodata clustering algorithm
2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007This paper analyzes the palmprint textures with a multi-resolution method. Texture feature vectors of palmprint are extracted by wavelet transformation. With the texture feature, isodata clustering method is used to achieve classification of the Feature vectors.
null Fu Liu +3 more
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Hardware implementation of ISODATA and Otsu thresholding algorithms
2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), 2016Image and video processing algorithms implemented in software, require most computation time when the image size is increased. Also, some algorithms must be processed at high-speed, for example the image thresholding algorithms for high throughput real-time applications.
Albert F. Torres-Monsalve +1 more
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ISODATA classification with parameters estimated by evolutionary approach
2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA), 2013The lsodata algorithm is an unsupervised data classification algorithm. Its result depends strongly on two parameters: distance threshold for the union of clusters and threshold of typical deviation for the division of a cluster. A bad choice of these two parameters leads the algorithm to spiral out of control leaving the end only one class.
M. Merzougui, M. Nasri, B. Bouali
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An SR-ISODATA algorithm for IDS alerts aggregation
2014 IEEE International Conference on Information and Automation (ICIA), 2014Intrusion detection Systems(IDS) can produce large amount of alert data which usually possesses the characteristics of high redundancy and high repetition. Such kind of data makes the event processing for network security significantly difficult.
Chun Long +3 more
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An improved ISODATA algorithm for hyperspectral image classification
2014 7th International Congress on Image and Signal Processing, 2014Hyperspectral image classification is an important part of the hyperspectral remote sensing information processing. The Iterative Selforganizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm which is an unsupervised classification algorithm is considered as an effective measure in the area of processing hyperspectral images. In this
Qian Wang +4 more
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Research in SVM Sample Optimizes of ISODATA Algorithm
Advanced Materials Research, 2012Support Vector Machine is widely used in data classification, but in the case of more training samples, the training time is longer. To solve this problem, use the ISODATA clustering algorithm to cluster samples to obtain the new cluster center, together with high similarity to the error for the sample to form a new cluster of training samples ...
Zhen Jiang Zhao +3 more
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High quality voice conversion based on ISODATA clustering algorithm
2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017Two main challenges introduced in current voice conversion are the dependence on parallel training data and the trade-off between speaker similarity and speech quality. To tackle the latter problem, this paper proposes a novel conversion method based on Iterative Self-organizing DATA Analysis Techniques Algorithm (ISODATA) clustering algorithm ...
Yanping Li +3 more
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Automatic segmentation of pancreatic images using ISODATA alorithm
Journal of Clinical Oncology, 200614149 Background: Pancreatic cancer is the second most common gastrointestinal malignancy in the United States, where it ranks 4th among all deaths caused by cancers. Early detection of pancreatic cancer remains a challange. Methods: MR images with different T1 and T2 weighting from the anatomical regions with the same imaging parameters were ...
B. Biswal +5 more
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