Embed and Conquer: Scalable Embeddings for Kernel $k$-Means on MapReduce.
Ahmed ElgoharyAhmed K. FarahatMohamed S. KamelFakhri KarrayPublished in: CoRR (2013)
Keyphrases
- k means
- mapreduce framework
- clustering method
- kernel function
- hilbert space
- parallel processing
- feature space
- data intensive
- kernel methods
- clustering algorithm
- hierarchical clustering
- spectral clustering
- vector space
- cloud computing
- kernel matrix
- dimensionality reduction
- squared euclidean distance
- normalized cut
- distributed processing
- kernel based clustering
- similarity function
- data clustering
- low dimensional
- distance measure
- cluster analysis
- expectation maximization
- reproducing kernel hilbert space
- highly scalable
- neural network
- image segmentation
- convolution kernel
- support vector
- data analytics
- unsupervised clustering
- multiple kernel learning
- distributed computing
- fuzzy c means
- manifold learning