[MAHOUT-1250] Deprecate unused algorithms

• Type: Improvement
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.8
• Fix Version/s: 0.8
• Assignee: Sebastian Schelter
• Reporter: Sebastian Schelter
• Created: 09/Jun/13 18:09
• Updated: 03/Feb/14 08:06
• Resolved: 09/Jun/13 22:03

Description

As discussed on the mailinglist, we will deprecate a lot of unused algorithms to tackle the 1.0 release with a more slim codebase.

So far we propose to deprecate these algorithms (and schedule them for removal):

• Clustering:
  Dirichlet
  MeanShift
  MinHash
  Eigencuts in o.a.m.clustering.spectral.eigencuts
• Classification:
  Winnow
  Perceptron
• Frequent Pattern Mining
• Collaborative Filtering:
  all recommenders in o.a.m.cf.taste.impl.recommender.knn
  TreeClusteringRecommender in o.a.m.cf.taste.impl.recommender
  SlopeOne implementations in o.a.m..cf.taste.hadoop.slopeone and o.a.m.cf.taste.impl.recommender.slopeone
  distributed pseudo recommender in o.a.m.cf.taste.hadoop.pseudo

-Math
Hadoop entropy stuff in o.a.m.math.stats.entropy
Lanczos in favor of SSVD