Results 11 to 20 of about 24,216,023 (259)

Ensemble clustering via heuristic optimisation [PDF]

, 2010
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
core   +5 more sources

Efficient utility-based clustering over high dimensional partition spaces [PDF]

, 2009
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible.
Smith, JQ, Millar, A. J., Millar, AJ, Liverani, Silvia, Smith, J. Q., Liverani, S, Anderson, Paul E., Anderson, PE, Edwards, Kieron D., Edwards, KD   +9 more
core   +1 more source

Research on coal rock recognition algorithm and “self-learning” model

Meikuang Anquan, 2021
Aiming at the problems of poor effect, poor stability and small application range of coal and rock recognition methods in fully mechanized coal mining face, based on the difference between the basic characteristics of coal and rock, from the visual ...
ZHANG Wei, FU Yuan, LIU Xin
doaj   +1 more source

Massive power device condition monitoring data feature extraction and clustering analysis using MapReduce and graph model

CES Transactions on Electrical Machines and Systems, 2019
Effective storage, processing and analyzing of power device condition monitoring data faces enormous challenges. A framework is proposed that can support both MapReduce and Graph for massive monitoring data analysis at the same time based on Aliyun ...
Hongtao Shen, Peng Tao, Pei Zhao, Hao Ma
doaj   +1 more source

Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes

Entropy, 2020
Over the last decades, load forecasting is used by power companies to balance energy demand and supply. Among the several load forecasting methods, medium-term load forecasting is necessary for grid’s maintenance planning, settings of electricity ...
Omaji Samuel, Fahad A. Alzahrani, Raja Jalees Ul Hussen Khan, Hassan Farooq, Muhammad Shafiq, Muhammad Khalil Afzal, Nadeem Javaid   +6 more
doaj   +1 more source

Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite

Remote Sensing, 2022
Solar resource assessment is of paramount importance in the planning of solar energy applications. Solar resources are abundant and characterization is essential for the optimal design of a system. Solar energy is estimated, indirectly, by the processing
Jared D. Salinas-González, Alejandra García-Hernández, David Riveros-Rosas, Gamaliel Moreno-Chávez, Luis F. Zarzalejo, Joaquín Alonso-Montesinos, Carlos E. Galván-Tejada, Alejandro Mauricio-González, Adriana E. González-Cabrera   +8 more
doaj   +1 more source

Consensus clustering and functional interpretation of gene-expression data [PDF]

, 2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters.
Liu, X, Orengo, Christine, Martin, N, Kellam, P., Paul Kellam, Liu, X., Swift, Stephen, Swift, S, Orengo, C.A., Tucker, Allan, Tucker, A., Tucker, A, Liu, XH, Allan Tucker, Vinciotti, Veronica, Christine Orengo, Veronica Vinciotti, Vinciotti, V., Xiaohui Liu, Swift, S., Kellam, P, Liu, Xiaohui, Vinciotti, V, Stephen Swift, Kellam, Paul, Orengo, C, Martin, Nigel, Nigel Martin   +27 more
core   +1 more source

A Comprehensive Study on Integrating Clustering with Regression for Short-Term Forecasting of Building Energy Consumption: Case Study of a Green Building

Buildings, 2022
Integrating clustering with regression has gained great popularity due to its excellent performance for building energy prediction tasks. However, there is a lack of studies on finding suitable regression models for integrating clustering and the ...
Zhikun Ding, Zhan Wang, Ting Hu, Huilong Wang   +3 more
doaj   +1 more source

In Silico Aptamer Docking Studies: From a Retrospective Validation to a Prospective Case Study'TIM3 Aptamers Binding

Molecular Therapy: Nucleic Acids, 2016
Complementing Systematic Evolution of Ligands by EXponential Enrichment (SELEX) technologies with in silico prediction of aptamer binders has attracted a lot of interest in the recent years. We propose a workflow involving 2D structure prediction, 3D RNA
Obdulia Rabal, Fernando Pastor, Helena Villanueva, Mario M Soldevilla, Sandra Hervas-Stubbs, Julen Oyarzabal   +5 more
doaj   +1 more source

Sequential Hierarchical Pattern Clustering [PDF]

, 2009
Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance.
Niranjan, Mahesan, Farran, Bassam, Mahesan Niranjan, Ramanan, Amirthalingam, Bassam Farran, Amirthalingam Ramanan   +5 more
core   +2 more sources