Difference: DataMining_WP_600_Features ( vs. 1)

Revision 12015-06-04 - CescJulbe

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Features

Basic features

Our framework aims to provide a set of basic MlLib tools to perform simple operations.

Spark resources and implementations

Basic operations

See Spark set of basic Machine Learning Libraries: http://spark.apache.org/docs/1.3.1/mllib-guide.html

Pipelines

http://spark.apache.org/docs/1.3.1/ml-guide.html

Advanced features

  • Diffusion Maps
  • LLE (Local Linear Embedding)
  • Kernel PCA
  • HMAC (Hierarchical Mode Association Clustering)
  • Self-Organised Feature Maps - Implemented by Univ. Coruņa colleagues for Spark and also running on GPUs.
  • Bayesian hierarchical models
-- Cesc Julbe (erased user) - 2015-06-04

Comments

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