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Ex-Staff Member

PhD Eng Artur Starczewski

Papers (17)

2021 (2)

A Novel Grid-Based Clustering Algorithm
Starczewski A., Scherer M.M., Ksiek W., Debski M., Wang L., A Novel Grid-Based Clustering Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 319-330, 2021, Cites: 12
A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm
Starczewski A., A Novel Approach to Determining the Radius of the Neighborhood Required for the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12854 LNAI, 12854 LNAI, 358-368, 2021, Cites: 0

2020 (2)

Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm
Starczewski A., Cader A., Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 555-565, 2020, Cites: 3
A New Method for Automatic Determining of the DBSCAN Parameters
Starczewski A., Goetzen P., Er M.J., A New Method for Automatic Determining of the DBSCAN Parameters, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 209-221, 2020, Cites: 38

2019 (1)

Determining the eps parameter of the DBSCAN algorithm
Starczewski A., Cader A., Determining the eps parameter of the DBSCAN algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 420-430, 2019, Cites: 13

2018 (1)

Improvement of the simplified silhouette validity index
Starczewski A., Przybyszewski K., Improvement of the simplified silhouette validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 433-444, 2018, Cites: 1

2017 (3)

A new validity index for crisp clusters
Starczewski A., A new validity index for crisp clusters, Pattern Analysis and Applications, 20, 20, 687-700, 2017, Cites: 47
A study of cluster validity indices for real-life data
Starczewski A., Krzyzak A., A study of cluster validity indices for real-life data, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 148-158, 2017, Cites: 1
Improvement of the validity index for determination of an appropriate data partitioning
Starczewski A., Krzyzak A., Improvement of the validity index for determination of an appropriate data partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 159-170, 2017, Cites: 3

2016 (1)

A modification of the Silhouette index for the improvement of cluster validity assessment
Starczewski A., Krzyzak A., A modification of the Silhouette index for the improvement of cluster validity assessment, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 114-124, 2016, Cites: 13

2015 (2)

Performance evaluation of the silhouette index
Starczewski A., Krzyzak A., Performance evaluation of the silhouette index, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 49-58, 2015, Cites: 67
Improvement of the multiple-view learning based on the self-organizing maps
Galkowski T., Starczewski A., Fu X., Improvement of the multiple-view learning based on the self-organizing maps, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 3-12, 2015, Cites: 4

2013 (1)

A clustering method based on the modified RS validity index
Starczewski A., A clustering method based on the modified RS validity index, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 242-250, 2013, Cites: 3

2012 (3)

An application of the self-organizing map to multiple view unsupervised learning
Galkowski T., Starczewski A., An application of the self-organizing map to multiple view unsupervised learning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 181-187, 2012, Cites: 1
A new hierarchical clustering algorithm
Starczewski A., A new hierarchical clustering algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 175-180, 2012, Cites: 3
A cluster validity index for hard clustering
Starczewski A., A cluster validity index for hard clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 168-174, 2012, Cites: 2

2008 (1)

A new approach to creating multisegment fuzzy systems
Starczewski A., A new approach to creating multisegment fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 324-332, 2008, Cites: 1

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