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  1. Machine Learning Library
  2. ML-419

Dimensionality Reduction and Feature Selection in ECL-ML

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    Details

    • Type: New Feature
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: 7.0.0
    • Fix Version/s: None
    • Component/s: ecl-ml

      Description

      Hamdi will complete this project during his internship ith us in summer 2018, details from his proposal:

      Implement a feature selection suite for ECL-ML. In the first part, we will implement several supervised and unsupervised filter-based feature selection algorithms, and test them using HPCC platform and UCI-based datasets. Finally, we will work on the design and implementation of a new filter-based feature selection algorithm, which selects the features using both supervised and unsupervised technique.
      Deliverables:

      • Implementation of all supervised and unsupervised filter-based methods (see proposal)
      • Design and implementation of a new filter-based approach, which leverages from both supervised¬†and unsupervised approach.
      • Wishlist (if time permits) - Implementation of wrapper and embedding methods

       

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            • Assignee:
              rdev Roger Dev
              Reporter:
              lorraineachapman Lorraine Chapman
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              • Created:
                Updated: