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DataMining_WP_600_Features
(04 Jun 2015,
CescJulbe
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Features
Basic features
Spark resources and implementations
Basic operations
Pipelines
Advanced features
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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. Coruña colleagues for Spark and also running on GPUs.
Bayesian hierarchical models
--
%USERSIG{CescJulbe - 2015-06-04}%
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Topic revision: r1 - 04 Jun 2015,
CescJulbe
GENIUS
General information
Proposal
Reference docs
Meetings & teleconfs
Reporting
Deliverables
Milestones
Positions
Work packages
WP1 - Management
WP2 - User community
WP3 - System design
WP4 - Data Exploitation
WP5 - Validation
WP6 - Support
WP7 - Dissemination
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FP7-SPACE-2013-1
Grant n. 606740.
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