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Clustering: C-means algorithm

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Clustering: C-means algorithm

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Juan Císcar, A.; Sanchis Navarro, JA.; Civera Saiz, J. (2019). Clustering: C-means algorithm. http://hdl.handle.net/10251/120978

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Title: Clustering: C-means algorithm
Author: Juan Císcar, Alfonso Sanchis Navarro, José Alberto Civera Saiz, Jorge
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
The training objectives of the learning object are: 1) To analyze the partitional clustering problem under the Sum of Squared Errors criterion; 2) Learning object to introduce clustering and the C-means (or K-means) algorithm ...[+]
Subjects: Clustering , C-means algorithm , K-means algorithm , Unsupervised learning , Machine learning , Artificial intelligence , Languages and computer systems , 1203 - Computer Sciences
UNESCO code: 1203 - Ciencias de la Computación
Copyrigths: Reconocimiento (by)
Universitat Politècnica de València
Type: Objeto de aprendizaje
URL: https://polimedia.upv.es/visor/?id=7974c870-7244-11e9-b1db-e795b40ece52
Learning Resource Type: Polimedia
Educational description: Learning object to introduce clustering and the C-means (or K-means) algorithm that needs to be supplemented by class exercises.
Intended End User Role: Alumno
Context: Primer ciclo
Difficulty: Fácil
Interactivity Level: Muy bajo
Semantic Density: Medio
Typical Learning Time: 15 horas 00 minutos
Educational language: Inglés
Access rigths: PUBLICO



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