Eine Bestimmung der Oberflächenqualität von Fahrradinfrastruktur durch Smartphone-Beschleunigungsdaten mithilfe des k-means++-Algorithmus / Determination of the Surface Quality of the Bicycle Infrastructure by Smartphone Acceleration Data Using the k-means++ Algorithm.
Stefan KranzingerSven LeitingerPublished in: AGIT Journal (2021)
Keyphrases
- k means
- spectral clustering
- data collection
- clustering method
- cluster centers
- clustering analysis
- data quality
- data clustering
- expectation maximization
- noisy data
- input data
- clustering algorithm
- hierarchical clustering
- preprocessing
- high quality
- data analysis
- clustering result
- fuzzy k means
- data sets
- learning algorithm
- training data
- computational complexity
- unsupervised clustering
- fuzzy c means
- laser scanner
- hierarchical clustering algorithm
- dynamic programming
- optimal solution
- objective function
- self organizing maps
- fuzzy clustering algorithm
- valued data
- surface reconstruction
- cluster structure
- three dimensional
- constrained clustering
- decision trees
- similarity measure
- clustering quality
- semi supervised
- data structure
- data objects
- cluster analysis
- data acquisition
- end users
- image data