Suchergebnisse - "Java parallel streams"

Performance of a K-Means Algorithm Driven by Careful Seeding

Autoren: Libero, Nigro Franco, Cicirelli

Quelle: Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2023), 12/07/2023, 14/07/2023
info:cnr-pdr/source/autori:Libero Nigro, Franco Cicirelli/congresso_nome:Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2023)/congresso_luogo:/congresso_data:12%2F07%2F2023, 14%2F07%2F2023,/anno:2023/pagina_da:/pagina_a:/intervallo_pagine

Schlagwörter: Clustering Accuracy Indexes, K-Means Clustering, Greedy K-Means++, Benchmark and Real-World Datasets, Seeding Procedure, Execution Performance, K-Means clustering, Seeding procedure, Greedy K-Means++, Clustering accuracy indexes, Java parallel streams, Benchmark and real-world datasets, Execution performance, Java Parallel Streams

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.cnr.it/prodotto/i/486151
https://publications.cnr.it/doc/486151
https://hdl.handle.net/20.500.14243/461867
https://hdl.handle.net/20.500.11770/354142

A K-Means Variation Based on Careful Seeding and Constrained Silhouette Coefficients

Autoren: Libero Nigro Franco Cicirelli Francesco Pupo

Quelle: Lecture Notes in Networks and Systems ISBN: 9789819995202
2nd International Conference on Advances in Data-driven Computing and Intelligent Systems, 21/09/2023,23/09/2023
info:cnr-pdr/source/autori:Libero Nigro, Franco Cicirelli, Francesco Pupo/congresso_nome:2nd International Conference on Advances in Data-driven Computing and Intelligent Systems/congresso_luogo:/congresso_data:21%2F09%2F2023,23%2F09%2F2023/anno:2023/pagina_da:/pagina_a:/intervallo_pagine

Schlagwörter: Silhouette coefficients, Hartigan & Wong K-Means, 0202 electrical engineering, electronic engineering, information engineering, Java parallel streams, Careful seeding, Compact and well-separated clusters, 02 engineering and technology, Clustering

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.cnr.it/prodotto/i/486107
https://publications.cnr.it/doc/486107
https://hdl.handle.net/20.500.14243/463516

Adapting Hartigan & Wong K-Means for the Efficient Clustering of Sets

Autoren: Libero, Nigro Franco, Cicirelli

Quelle: Temp (Århus. Online) 3 (2023). doi:10.31031/OABB.2023.03.000564
info:cnr-pdr/source/autori:Libero Nigro, Franco Cicirelli/titolo:Adapting Hartigan & Wong K-Means for the Efficient Clustering of Sets/doi:10.31031%2FOABB.2023.03.000564/rivista:Temp (Århus. Online)/anno:2023/pagina_da:/pagina_a:/intervallo_pagine:/volume:3

Schlagwörter: Clustering sets, Hartigan and Wong K-Means, Jaccard distance, Medoids, Seeding methods, Java parallel streams, Clustering sets, Hartigan and Wong K-Means, Jaccard distance, Medoids, Seeding methods, Java parallel streams

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/20.500.11770/356359

A K-Means Variation based on Careful Seeding and Constrained Silhouette Coefficients

Autoren: Libero, Nigro Franco, Cicirelli

Schlagwörter: Clustering, Hartigan & Wong K-Means, Careful seeding, Silhouette coefficients, Compact and well-separated clusters, Java parallel streams

Zugangs-URL: https://hdl.handle.net/20.500.11770/356371

High performance computing with java streams

Autoren: Silva, Rui António Sabino Castiço Sobral, João Luís Ferreira Universidade do Minho

Weitere Verfasser: Silva, Rui António Sabino Castiço Sobral, João Luís Ferreira Universidade do Minho

Schlagwörter: Java parallel streams, Data layout, Data locality

Dateibeschreibung: application/pdf

Relation: 978-3-031-06155-4; 0302-9743

Verfügbarkeit: https://hdl.handle.net/1822/90122

Fast and Accurate K-means Clustering Based on Density Peaks

Autoren: Libero Nigro Franco Cicirelli

Quelle: Lecture Notes in Networks and Systems ISBN: 9789819932498

Schlagwörter: Clustering, K-means, Centroids Initialization, Density Peaks, DK-means++, Java, Parallel Streams, Lambda Expressions, Multi-core Machines

Zugangs-URL: https://hdl.handle.net/20.500.11770/341397

Improving K-means by an Agglomerative Method and Density Peaks

Autoren: Libero Nigro Franco Cicirelli

Quelle: Lecture Notes in Networks and Systems ISBN: 9789811992247

Schlagwörter: Clustering Problem, K-means, Agglomerative Clustering, Density Peaks, Java, Parallel Streams, Multi-core Machines, Benchmark Datasets

Zugangs-URL: https://www.springer.com/series/15179
https://hdl.handle.net/20.500.11770/341395

Two Medoid-Based Algorithms for Clustering Sets

Autoren: Libero Nigro Pasi Fränti

Quelle: Algorithms, Vol 16, Iss 7, p 349 (2023)
Algorithms; Volume 16; Issue 7; Pages: 349

Schlagwörter: K-medoids, Unsupervised clustering, K-Means, K-Medoids, Random Swap, Seeding methods, Clustering sets, Clustering indexes, Benchmark datasets, Java, Parallel streams, clustering sets, Industrial engineering. Management engineering, QA75.5-76.95, 02 engineering and technology, T55.4-60.8, random swap, seeding methods, unsupervised clustering, K-means, clustering indexes, benchmark datasets, java, parallel streams, 3. Good health, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/d66fce0d1ccb4d26a4293168067aaafb
https://hdl.handle.net/20.500.11770/354639

ParDP: A Parallel Density Peaks-Based Clustering Algorithm.

Autoren: Nigro, Libero Cicirelli, Franco

Quelle: Mathematics (2227-7390); Apr2025, Vol. 13 Issue 8, p1285, 28p

Schlagwörter: CLUSTERING algorithms, K-nearest neighbor classification, PRINCIPAL components analysis, PARALLEL programming, ESTIMATION theory

Empirical complexity of comparator-based nearest neighbor descent

Autoren: Baron, Jacob D. Darling, R. W. R.

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, 90C35, F.2.2, text

URL: http://arxiv.org/abs/2202.00517

Bamshad: A JIT compiler for running Java stream APIs on heterogeneous environments

Autoren: Farshad Khunjush Bahram Yarahmadi

Quelle: 2017 19th International Symposium on Computer Architecture and Digital Systems (CADS). :1-5

Schlagwörter: 2. Zero hunger, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 7. Clean energy

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8310734
http://xplorestaging.ieee.org/ielx7/8303882/8310667/08310734.pdf?arnumber=8310734

Efficient and Reliable Clustering by Parallel Random Swap Algorithm

Autoren: Libero Nigro Franco Cicirelli Pasi Fränti

Quelle: 2022 IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). :25-28

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, Clustering problem, K-Means, Random swap, Parallelism, Streams, Lambda Expressions, Java, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/abstract/document/9932090
https://doi.org/10.1109/DS-RT55542.2022.9932090
https://hdl.handle.net/20.500.11770/341393

Improving Clustering Accuracy of K-Means and Random Swap by an Evolutionary Technique Based on Careful Seeding.

Autoren: Nigro, Libero Cicirelli, Franco

Quelle: Algorithms; Dec2023, Vol. 16 Issue 12, p572, 25p

Schlagwörter: K-means clustering, SOWING, CENTROID, EVOLUTIONARY algorithms

Two Medoid-Based Algorithms for Clustering Sets.

Autoren: Nigro, Libero Fränti, Pasi

Quelle: Algorithms; Jul2023, Vol. 16 Issue 7, p349, 17p

Schlagwörter: ALGORITHMS, FUZZY algorithms, DIAGNOSIS, DATA analysis, PARALLEL algorithms

Parallel random swap: An efficient and reliable clustering algorithm in Java.

Autoren: Nigro, Libero Cicirelli, Franco Fränti, Pasi

Quelle: Simulation Modelling Practice & Theory. Apr2023, Vol. 124, pN.PAG-N.PAG. 1p.

Schlagwörter: *PARALLEL algorithms, *ALGORITHMS, *K-means clustering, *SCALABILITY

Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images.

Autoren: Ryselis, Karolis Blažauskas, Tomas Damaševičius, Robertas et al.

Quelle: Sensors (14248220); May2022, Vol. 22 Issue 9, p3531-3531, 16p

Schlagwörter: STREAMING video & television, HUMAN body, IMAGE sensors, BODY image, TIME perspective, VIDEOS

An Implementation of the HDBSCAN* Clustering Algorithm.

Autoren: Stewart, Geoffrey Al-Khassaweneh, Mahmood

Quelle: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2405, 21p

Schlagwörter: ALGORITHMS, PYTHON programming language, MACHINE learning

SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.

Autoren: TRUMMER, IMMANUEL JUNXIONG WANG ZIYUN WEI et al.

Quelle: ACM Transactions on Database Systems; Sep2021, Vol. 46 Issue 3, p1-45, 45p

Schlagwörter: REINFORCEMENT learning, DATABASES, DATA structures, INFORMATION storage & retrieval systems, NEWSVENDOR model

PList-based Divide and Conquer Parallel Programming.

Autoren: Niculescu, Virginia Bufnea, Darius Sterca, Adrian

Quelle: Journal of Communications Software & Systems; 2020, Vol. 16 Issue 2, p197-206, 10p

Schlagwörter: PARALLEL programming, DATA structures, JAVA programming language

Embedding Concurrent Generators.

Autoren: Mills, Peter Jeffery, Clinton

Quelle: 2016 IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPSW); 2016, p366-375, 10p