Similar Search Results

Cluster typology of business models of start-ups : (example of Slovakia)

Slávik, Štefan; Bednár, Richard; Hudáková, Ivana … - In: Administrative Sciences : open access journal 10 (2020) 3/54, pp. 1-17

, which are derived from the visualization of canvas. The research sample is divided by cluster analysis (Ward's hierarchical …

Persistent link: https://www.econbiz.de/10012271433

A practical approach to determining critical macroeconomic factors in air-traffic volume based on k-means clustering and decision-tree classification

Chen, Jieh-Haur; Wei, Hsi-Hsien; Chen, Chih-Lin; Wei, … - In: Journal of air transport management 82 (2020), pp. 1-11

Persistent link: https://www.econbiz.de/10012253058

A classification scheme for representing the variation in business and supply chain performance in Indian manufacturing industry

Soni, Gunjan; Kodali, Rambabu - In: Benchmarking : an international journal ; BIJ 24 (2017) 4, pp. 1013-1036

Persistent link: https://www.econbiz.de/10011653098

Clustering categories in support vector machines

Carrizosa, Emilio; Nogales-Gómez, Amaya; Romero … - In: Omega : the international journal of management science 66 (2017), pp. 28-37

Persistent link: https://www.econbiz.de/10011598956

Automatic detection and classification of brain tumours using k-means clustering with classifiers

Rajini, Narayanan Hema; Bhavani, Rajaram - In: International journal of enterprise network management 10 (2019) 1, pp. 64-77

Persistent link: https://www.econbiz.de/10012036938

Classification and clustering in biomedical signal processing

Dey, Nilanjan (ed.); Ashour, Amira (ed.) - 2016

signal processing for biomedical applications with an emphasis on classification and clustering techniques"--Provided by …

Persistent link: https://www.econbiz.de/10011728492

An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity

Alam, Shafiq; Ayub, Muhammad Sohaib; Arora, Sakshi; … - In: Decision analytics journal 9 (2023), pp. 1-14

, distortions, and poor decisions. The presence of missing values in data introduces inaccuracies in clustering and classification …. Furthermore, the study examines the impact of imputed values on classification algorithms, including k-Nearest Neighbors (kNN …

Persistent link: https://www.econbiz.de/10014532502

A literature review on correlation clustering : cross-disciplinary taxonomy with bibliometric analysis

Wahid, Dewan F.; Hassini, Elkafi - In: Operations research forum 3 (2022) 3, pp. 1-42

Persistent link: https://www.econbiz.de/10013461871

A cluster-driven classification approach to truck stop location identification using passive GPS data

Patel, Vidhi; Maleki, Mina; Kargar, Mehdi; Chen, Jessica; … - In: Journal of geographical systems : geographical … 24 (2022) 4, pp. 657-677

Persistent link: https://www.econbiz.de/10013462089

Building a Taxonomy of Litigation : Clusters of Causes of Action in Federal Complaints

Boyd, Christina L.; Hoffman, David A.; Obradovic, Zoran; … - 2016

utilize spectral cluster analysis on a newly compiled federal district court dataset of causes of action in complaints to … litigation. This approach permits us to lay the foundations for a more precise and useful taxonomy of federal litigation than has …

Persistent link: https://www.econbiz.de/10014170285