From 0116ebdc0d12b4ff941dc13568e99503f1878b35 Mon Sep 17 00:00:00 2001
From: Sebastian Schelter <ssc@apache.org>
Date: Wed, 31 Jul 2013 05:08:41 +0000
Subject: [PATCH] MAHOUT-1296 - Remove deprecated algorithms

git-svn-id: https://svn.apache.org/repos/asf/mahout/trunk@1508726 13f79535-47bb-0310-9956-ffa450edef68
---
 src/conf/dirichlet.props              | 19 -------------------
 src/conf/driver.classes.default.props |  6 ------
 src/conf/fpg.props                    |  0
 src/conf/meanshift.props              | 13 -------------
 4 files changed, 38 deletions(-)
 delete mode 100644 src/conf/dirichlet.props
 delete mode 100644 src/conf/fpg.props
 delete mode 100644 src/conf/meanshift.props

diff --git a/src/conf/dirichlet.props b/src/conf/dirichlet.props
deleted file mode 100644
index 4a7b044cd0..0000000000
--- a/src/conf/dirichlet.props
+++ /dev/null
@@ -1,19 +0,0 @@
-# The following parameters must be specified
-#i|input = /path/to/input
-#o|output = /path/to/output
-#x|maxIter = <number of iterations>
-#k|k = <number of models>
-
-# The following parameters all have default values if not specified
-#ow|overwrite = <clear output directory if present>
-#m|alpha = <Dirichlet alpha_0 value. Default: 1.0>
-#md|modelDistClass = <model distribution class name. Default: NormalModelDistribution>
-#mp|modelPrototypeClass = <vector class name for models. Default: RandomAccessSparseVector>
-#r|maxRed = <number of reducers. Default: 1>
-#cl|clustering = <cluster points if present>
-#e|emitMostLikely = <emit most likely cluster if clustering. Default: true>
-#t|threshold = <threshold if clustering and not emitMostLikely. Default: 0.0>
-
-
-
-
diff --git a/src/conf/driver.classes.default.props b/src/conf/driver.classes.default.props
index 9d95cfa964..f7a5ab22a3 100644
--- a/src/conf/driver.classes.default.props
+++ b/src/conf/driver.classes.default.props
@@ -29,19 +29,13 @@ org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli = ssvd : Stochastic SVD
 #Clustering
 org.apache.mahout.clustering.kmeans.KMeansDriver = kmeans : K-means clustering
 org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver = fkmeans : Fuzzy K-means clustering
-org.apache.mahout.clustering.minhash.MinHashDriver = minhash : Run Minhash clustering
 org.apache.mahout.clustering.lda.cvb.CVB0Driver = cvb : LDA via Collapsed Variation Bayes (0th deriv. approx)
 org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0 = cvb0_local : LDA via Collapsed Variation Bayes, in memory locally.
-org.apache.mahout.clustering.dirichlet.DirichletDriver = dirichlet : Dirichlet Clustering
-org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver = meanshift : Mean Shift clustering
 org.apache.mahout.clustering.canopy.CanopyDriver = canopy : Canopy clustering
-org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver = eigencuts : Eigencuts spectral clustering
 org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver = spectralkmeans : Spectral k-means clustering
 org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver = clusterpp : Groups Clustering Output In Clusters
 org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver = streamingkmeans : Streaming k-means clustering
 
-#Freq. Itemset Mining
-org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver = fpg : Frequent Pattern Growth
 #Classification
 #new bayes
 org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob = trainnb : Train the Vector-based Bayes classifier
diff --git a/src/conf/fpg.props b/src/conf/fpg.props
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/src/conf/meanshift.props b/src/conf/meanshift.props
deleted file mode 100644
index 80806b7586..0000000000
--- a/src/conf/meanshift.props
+++ /dev/null
@@ -1,13 +0,0 @@
-# The following parameters must be specified
-#i|input = /path/to/input
-#o|output = /path/to/output
-#t1|t1 = <T1 threshold value>
-#t2|t2 = <T2 threshold value >
-#cd|convergenceDelta = <the convergence threshold to halt iteration>
-#x|maxIter = <the maximum number of iterations to attempt>
-
-# The following parameters all have default values if not specified
-#ow|overwrite = <clear output directory if present>
-#cl|clustering = <cluster points if present>
-#ic|inputIsCanopies = <if present, input directory contains MeanShiftCanopies (vs.VectorWritable)>
-#dm|distanceMeasure = <distance measure class name. Default: SquaredEuclideanDistanceMeasure>