An Efficient Dimensionality ReductionTechniques to Data Data Visualization

被引：0

作者：

Sasikala, R. ^{[1
]}

Sakthi, P. ^{[2
]}

Agalya, K. ^{[3
]}

Vidhya, U. ^{[4
]}

Karthik, M. ^{[5
]}

Nareshkumar, R. ^{[6
]}

机构：

[1] CARE Coll Engn, Dept Artificial Intelligence & Data Sci, Trichy, India

[2] SRM Valliammai Engn Coll, Dept Informat Technol, Chennai, Tamil Nadu, India

[3] Sri Eshwar Coll Engn Coimbatore, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India

[4] Indra Ganesan Coll Engn, Dept Informat Technol, Tiruchirappalli, India

[5] K Ramakrishnan Coll Technol, Dept Comp Sci & Engn, Trichy, Tamil Nadu, India

[6] SRM Inst Sci & Technol, Coll Engn & Technol, Sch Comp, Dept Networking & Commun, Kattankulathur, Tamil Nadu, India

来源：

2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024 | 2024年

关键词：

Data Visualization; Feature Projection; Sports analysis; Statistical analysis;

D O I：

10.1109/ACCAI61061.2024.10601723

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The aim of this paper, is to gain insights in to dynamics of Kabaddi. This sport has become increasingly popular, by analyzing teams' performance in national leagues. To do so, the results of each round of matches the participating teams play are used to create a dissimilarity matrix. This matrix is then processed through two algorithms, A visualization of the outcomes of each team was achieved by the utilization of novel dimensionality techniques. This novel approach for dimensionality reduction enables the teams' performance to be represented in a lower-dimensional manner, facilitating the visualization of complex data connections. The t-SNE algorithm, on the other hand, captures the non-linear relationships in the teams' performance. This study attempts to discover crucial characteristics that impact team performance and give a greater knowledge of the dynamics of the sport by comparing the findings acquired using a novel dimensionality reduction technique. The data for this study comes from the Kabaddi season that took place during 2017-2018.

引用

页数：6

共 13 条

[1]

[Anonymous], 2015, International Journal of Computer Applications, V129, P36, DOI [10.5120/ijca2015906829, DOI 10.5120/IJCA2015906829]

[2]

Bhonde S. B., 2021, ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, V7, P53, DOI [DOI 10.33130/AJCT.2021V07I01.012, 10.33130/AJCT.2021v07i01.012]

[3]

Bouchequet P, 2023, SLEEP, V46, pA188

[4] t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections [J].

Chatzimparmpas, Angelos ;

Martins, Rafael M. ;

Kerren, Andreas .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2020, 26 (08) :2696-2714

[5] Dimensionality Reduction Techniques for Visualizing Morphometric Data: Comparing Principal Component Analysis to Nonlinear Methods [J].

Du, Trina Y. .

EVOLUTIONARY BIOLOGY, 2019, 46 (01) :106-121

[6] DO HOCKEY TEAMS DISCRIMINATE AGAINST FRENCH CANADIANS - A COMMENT ON DISCRIMINATION AND PERFORMANCE DIFFERENTIALS IN THE NATIONAL HOCKEY LEAGUE [J].

KRASHINSKY, M .

CANADIAN PUBLIC POLICY-ANALYSE DE POLITIQUES, 1989, 15 (01) :94-97

[7]

Lespinats S., 2021, Nonlinear Dimensionality Reduction Techniques, P89, DOI [10.1007/978-3-030-81026-95, DOI 10.1007/978-3-030-81026-95]

[8] Computing mechanical response variability of polycrystalline microstructures through dimensionality reduction techniques [J].

Li, Zheng ;

Wen, Bin ;

Zabaras, Nicholas .

COMPUTATIONAL MATERIALS SCIENCE, 2010, 49 (03) :568-581

[9] A Review Paper on Dimensionality Reduction Techniques [J].

Mulla, Faizan Riyaz ;

Gupta, Anil Kumar .

JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, 13 :1263-1272

[10]

Nabi Faisal, 2024, Cyber Security and Applications, V2, DOI 10.1016/j.csa.2023.100033

← 1 2 →