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

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

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

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