Comparative Study of Clustering Distance Measures to Determine Neural Network Architectures.
Mohamed Lafif TejStefan HolbanPublished in: SACI (2018)
Keyphrases
- comparative study
- distance measure
- distance metric
- dissimilarity measure
- nearest neighbor classification
- cosine similarity
- proximity measures
- similarity measure
- distance calculation
- euclidean distance
- distance function
- vector space
- kullback leibler
- k means
- clustering algorithm
- clustering method
- dynamic time warping
- hamming distance
- high dimensional data
- information theoretic
- document clustering
- similarity function
- kullback leibler divergence
- missing data
- bhattacharyya distance
- mutual information
- data mining algorithms
- data points
- feature vectors
- edit distance
- histogram intersection
- social network analysis