Detecting homogeneous groups in clustering using the Euclidean distance.
Antonio Flores-SintasJosé Manuel CadenasFernando MartinPublished in: Fuzzy Sets Syst. (2001)
Keyphrases
- euclidean distance
- homogeneous groups
- distance metric
- data points
- distance measure
- euclidean space
- similarity measure
- distance function
- mahalanobis distance
- cluster centers
- dimensionality reduction
- feature vectors
- fuzzy c means
- clustering algorithm
- dynamic time warping
- cosine similarity
- clustering method
- kernel induced
- manhattan distance
- k means
- density estimation
- metric learning
- high dimensional
- data analysis
- pattern recognition
- data sets
- euclidean norm