Results 31 to 40 of about 1,888,648 (281)
QCanvas: An Advanced Tool for Data Clustering and Visualization of Genomics Data [PDF]
Genomics & Informatics, 2012 We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering
Nayoung Kim +4 more
doaj +1 more source
ACM Computing Surveys, 2011 In the last few years we have observed a proliferation of approaches for clustering XML documents and schemas based on their structure and content. The presence of such a huge amount of approaches is due to the different applications requiring the clustering of XML data.
A. Algergawy +3 more
openaire +2 more sources
Mental-Map Preserving Visualisation of Partitioned Networks in Vanted
Journal of Integrative Bioinformatics, 2019 Biological networks can be large and complex, often consisting of different sub-networks or parts. Separation of networks into parts, network partitioning and layouts of overview and sub-graphs are of importance for understandable visualisations of those
Garkov Dimitar +3 more
doaj +1 more source
Applied Sciences, 2022 Recognizing dangerous situations in advance and determining priority is essential in vessel traffic surveillance. The traffic management priority is determined by the vessel traffic service operator (VTSO) employing the closest point of approach (CPA ...
Lee-na Lee, Joo-sung Kim
doaj +1 more source
, 2012 In 1961 Herbert Simon and Albert Ando published the theory behind the long-term behavior of a dynamical system that can be described by a nearly uncoupled matrix.
Meyer, Carl D., Wessell, Charles D.
core +3 more sources
CUR Decompositions, Similarity Matrices, and Subspace Clustering [PDF]
, 2018 A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matrices for data that come from a union of unknown subspaces $\mathscr{U ...
Aldroubi, Akram +3 more
core +3 more sources
Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions
JISKA (Jurnal Informatika Sunan Kalijaga)The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to improve the performance of the K-Means algorithm by integrating the Purity method, specifically focusing on clustering ...
Novia Hasdyna +2 more
doaj +1 more source
Info-Clustering: A Mathematical Theory for Data Clustering
, 2016 We formulate an info-clustering paradigm based on a multivariate information measure, called multivariate mutual information, that naturally extends Shannon's mutual information between two random variables to the multivariate case involving more than ...
Al-Bashabsheh, Ali +4 more
core +1 more source
Probabilistic Clustering of Time-Evolving Distance Data [PDF]
, 2015 We present a novel probabilistic clustering model for objects that are represented via pairwise distances and observed at different time points. The proposed method utilizes the information given by adjacent time points to find the underlying cluster ...
AK Jain +27 more
core +1 more source
, 2012 Factorial clustering methods have been developed in recent years thanks to the improving of computational power. These methods perform a linear transformation of data and a clustering on transformed data optimizing a common criterion.
A. Ben-Israel +6 more
core +2 more sources