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Methods in Molecular Biology, ISSN 1064-3745, 2017, Volume 1526, pp. 345 - 362
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2017, Volume 26, Issue 7, pp. 3317 - 3330
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 05/2018, Volume 48, Issue 5, pp. 1460 - 1473
Journal Article
Procedia Computer Science, ISSN 1877-0509, 2015, Volume 54, pp. 764 - 771
Image segmentation is the classification of an image into different groups. Many researches have been done in the area of image segmentation using clustering.... 
Image segmentation | K -means clustering | Partial contrast stretching | Subtractive clustering | Median filter
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2014, Volume 47, Issue 9, pp. 3046 - 3059
We build a general and easily applicable clustering theory, which we call cross-entropy clustering (shortly CEC), which joins the advantages of classical... 
Clustering | Memory compression | Cross-entropy | FINITE MIXTURE-MODELS | EM ALGORITHM | K-MEANS | SEGMENTATION | COMPRESSION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Construction | Clusters | Gaussian | Pattern recognition | Density | Invariants | Optimization
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 10/2018, Volume 40, Issue 10, pp. 2469 - 2483
Journal Article
Pattern Recognition, ISSN 0031-3203, 07/2014, Volume 47, Issue 7, pp. 2505 - 2516
Applying k-Means to minimize the sum of the intra-cluster variances is the most popular clustering approach. However, after a bad initialization, poor local... 
k-Means initialization | Balanced clusters | Clustering | k-Means | KERNEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Weighting | Emergence | Clusters | Robustness | Pattern recognition | Variance | Cluster analysis
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 2008, Volume 29, Issue 9, pp. 1385 - 1391
This paper introduces k′-means algorithm that performs correct clustering without pre-assigning the exact number of clusters. This is achieved by minimizing a... 
Clustering analysis | Rival penalized | Cluster number | Cost-function | k-Means | NUMBER | cost-function | rival penalized | k-means | cluster number | MODEL | SELECTION | clustering analysis | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2013, Volume 46, Issue 9, pp. 2538 - 2547
In this paper, we present a rough k-means clustering algorithm based on minimizing the dissimilarity, which is defined in terms of the squared Euclidean... 
Rough k-means clustering | Knowledge discovery | Nearest-neighbor search | Soft computing | TESTS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Earth resources technology satellites | Algorithms | Fuzzy logic | Data points | Digits | Clusters | Fuzzy set theory | Fuzzy | Clustering
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 2010, Volume 37, Issue 7, pp. 4761 - 4767
Clustering is a popular data analysis and data mining technique. In this paper, an artificial bee colony clustering algorithm is presented to optimally... 
K-means | Meta-heuristic algorithm | Artificial bee colony | Clustering | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | SEARCH | K-MEANS ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Computer simulation | Colonies | Clusters | Data processing | Expert systems | Optimization
Journal Article
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 06/2010, Volume 105, Issue 490, pp. 713 - 726
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 09/2019, Volume 30, Issue 9, pp. 2583 - 2597
Clustering aims at naturally grouping the data according to the underlying data distribution. The data distribution is often estimated using a parametric or... 
K-means | Shape | robust clustering | parametric clustering | Clustering algorithms | Mixture models | Data models | Robustness | Parametric statistics | semiparametric density | Kernel | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | KERNEL | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2017, Volume 26, Issue 6, pp. 3016 - 3027
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 04/2017, Volume 90, pp. 8 - 14
•We study the problem of data clustering with outlier detection.•We propose a k-means-type algorithm by incorporating an additional “cluster” into the... 
k-means | Outlier detection | Data clustering | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Analysis | Information management
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2015, Volume 24, Issue 4, pp. 994 - 1013
Clustering is a fundamental problem in many scientific applications. Standard methods such as k-means, Gaussian mixture models, and hierarchical clustering,... 
k-means | Regularization paths | Alternating direction method of multipliers | Hierarchical clustering | Convex optimization | Alternating minimization algorithm | PATH | PROJECTION | ALGORITHM | DECOMPOSITION | STATISTICS & PROBABILITY | SELECTION
Journal Article