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, 2008 Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). These techniques can also be applied to tissues rather than genes.
McLachlan, G. J., Bean, R. W., Ng, S. K.
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Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms, 2017 We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online.
Xin Tian, Song Li
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SACOC: A spectral-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
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gagolews/clustering-benchmarks: clustering-benchmarks-v1.1.0
, 2022 1.1.0 (2022-09-17) The project's homepage was created. It is available at https://clustering-benchmarks.gagolewski.com. Python package clustering-benchmarks released on PyPI.
Marek Gagolewski
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Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey [PDF]
Neutrosophic Sets and Systems, 2021 Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis.
N.N. Mostafa, K. Ahmed, I. El-Henawy
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Clustering technique for conceptual clusters [PDF]
Proceedings of the 11th edition of the International Workshop on Smalltalk Technologies, 2016 Clustering aims to classify elements into groups called classes or clusters. Clustering is used in reverse-engineering to help to understand legacy software. It is also a tech-nic used in re-engineering to propose gatherings of software entities to engineers who can then accept them or not. This paper presents a Pharo implementation of an iterative and
Govin, Brice +3 more
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Drinking water accessibility typologies in low- and middle-income countries
Environmental Research Letters, 2023 We present a data-driven typology framework for understanding patterns in drinking water accessibility across low- and middle-income countries. Further, we obtain novel typology-specific insights regarding the relationships between possible explanatory ...
Hichul Chung, Emily Kumpel, Jimi Oke
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Analysis of key university leadership factors based on their international rankings (QS World University Rankings and Times Higher Education) [PDF]
Problems and Perspectives in Management, 2020 In the context of globalization of the educational services market, competition between universities is becoming more intense. This manifests itself, among other things, in the struggle for positions in international university rankings.
Maxim Polyakov +3 more
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Clustering documents with active learning using Wikipedia [PDF]
, 2008 Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this paper we propose to exploit the semantic knowledge in Wikipedia for clustering,
Ian H. Witten +7 more
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Sequence spaces M ( ϕ ) $M(\phi)$ and N ( ϕ ) $N(\phi)$ with application in clustering
Journal of Inequalities and Applications, 2017 Distance measures play a central role in evolving the clustering technique. Due to the rich mathematical background and natural implementation of l p $l_{p}$ distance measures, researchers were motivated to use them in almost every clustering process ...
Mohd Shoaib Khan +3 more
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