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2014, Chapman & Hall/CRC data mining and knowledge discovery series, ISBN 9781466558212, xxv1, 622 pages
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario... 
Cluster analysis | Document clustering | File organization (Computer science) | COMPUTERS / Machine Theory | Machine theory | BUSINESS & ECONOMICS / Statistics | Data mining | COMPUTERS / Database Management / Data Mining
Book
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2014, Volume 36, Issue 11, pp. 2227 - 2240
Journal Article
Procedia computer science, ISSN 1877-0509, 2015, Volume 54, pp. 764 - 771
.... There are different methods and one of the most popular methods is k-means clustering algorithm. K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background... 
Image segmentation | K -means clustering | Partial contrast stretching | Subtractive clustering | Median filter
Journal Article
IEEE transactions on fuzzy systems, ISSN 1941-0034, 2016, Volume 24, Issue 6, pp. 1611 - 1626
Journal Article
JOURNAL OF MACHINE LEARNING RESEARCH, ISSN 1532-4435, 2019, Volume 20
We consider stochastic settings for clustering, and develop provably-good approximation algorithms for a number of these notions... 
kappa-center | DISTANCE | K-MEANS | RACE | clustering | lottery | approximation algorithms | HEALTH | kappa-median | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Wiley interdisciplinary reviews. Data mining and knowledge discovery, ISSN 1942-4795, 2011, Volume 2, Issue 1, pp. 86 - 97
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments... 
EFFICIENT ALGORITHM | COMPUTER SCIENCE, THEORY & METHODS | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Hierarchies | Self organizing maps | Clustering
Journal Article
Information sciences, ISSN 0020-0255, 2013, Volume 220, pp. 269 - 291
.... Recent studies have shown that the most commonly used partitioning-based clustering algorithm, the K-means algorithm, is more suitable for large datasets... 
K-means | Document clustering | Harmony search | Hybridization | Stochastic optimization | COMPUTER SCIENCE, INFORMATION SYSTEMS | OPTIMIZATION | K-MEANS ALGORITHM | HARMONY SEARCH ALGORITHM | Computer science | Markov processes | Algorithms | Universities and colleges | Analysis
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2016, Volume 188, pp. 233 - 238
Journal Article
Journal Article
Machine learning, ISSN 1573-0565, 2018, Volume 108, Issue 2, pp. 331 - 376
The use of distance metrics such as the Euclidean or Manhattan distance for nearest neighbour algorithms allows for interpretation as a geometric model, and it has been widely assumed that the metric... 
Nearest neighbour | Control, Robotics, Mechatronics | Artificial Intelligence | Computer Science | Natural Language Processing (NLP) | Distance metric | Classification | Simulation and Modeling | Lowest probability mass neighbour | Clustering | Mass-based dissimilarity | SIMILARITY | DATA DEPTH | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | Data mining | Analysis | Algorithms | Substitutes | Euclidean geometry | Axioms
Journal Article
Journal Article
The Artificial intelligence review, ISSN 1573-7462, 2016, Volume 47, Issue 1, pp. 123 - 144
Journal Article