Results 181 to 190 of about 2,173 (213)

An adaptive isodata fuzzy clustering algorithm with partial supervision

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012
Semi-supervised learning uses large amount of unlabeled data, combined with labeled data, to guide the learning process. This paper introduces a new clustering algorithm with partial supervision based on an adaptive distance. The proposed method furnishes a fuzzy partition and a prototype for each cluster by optimizing a criterion based on an adaptive ...
Valmir Macário Filho, Francisco de A. T. de Carvalho   +1 more
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Recovering valid clusters with ISODATA supervised by the CAIC

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988
The authors developed an unsupervised clustering method that is a variant of the well known ISODATA clustering algorithm. They replace the heuristic rules that control ISODATA with rules that search for the minimum value of an information theoretic criterion.
C.S. Carman, M.B. Merickel
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Hardware implementation of ISODATA and Otsu thresholding algorithms

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), 2016
Image 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, Jaime Velasco-Medina   +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), 2013
The 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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A Controllable Efficient Content Distribution Framework Based on Blockchain and ISODATA

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2018
In this paper, we focus on the efficiency improvement of the content distribution network while endow this framework with controllability, where CHs(Content Helpers) have restricted distribution scope and thus the economic benefits of CP(Content Provider) are protected.
Yangxin Wu, Peijia Zheng, Jianting Guo, Wei Zhang 0016, Jiwu Huang   +4 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), 2017
Two 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, Yutao Zuo, Zhen Yang 0001, Xi Shao   +3 more
openaire   +1 more source

Convergence and Consistency of Fuzzy c-means/ISODATA Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987
The fuzzy c-means/ISODATA algorithm is usually described in terms of clustering a finite data set. An equivalent point of view is that the algorithm clusters the support points of a finite-support probability distribution. Motivated by recent work on the hard version of the algorithm, this paper extends the definition to arbitrary distributions and ...
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Research in SVM Sample Optimizes of ISODATA Algorithm

Advanced Materials Research, 2012
Support 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, Wei Gao, Huai Zhong Wang, Ke Fei Zhang   +3 more
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Palmprint recognition based on isodata clustering algorithm

2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007
This 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, null Cai-Xia Lin, null Ping-Yuan Cui, null Tian Dong   +3 more
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Curvelet Transform and ISODATA Thresholding for Retinal Vessel Extraction

2021
Researchers says eyes are good indicator of many diseases like Diabetic retinopathy, Glaucoma, Hyper tension, cardiac disease and many age related abnormalities. Here we aim to put forward a reliable, fast and computerized method to get the vessel network of fundus image, that can assist the ophthalmologist to diagnose the disease in early stage and ...
Sakambhari Mahapatra, U. R. Jena, Sonali Dash   +2 more
openaire   +1 more source