Hi, I have a test data that has a number of points, written to a sequence file using a Clojure script as follows (I am equally just as bad in both JAVA and Clojure, since I really don't like JAVA I wrote my scripts in Clojure whenever possible).
#!./bin/clj (ns sensei.sequence.core) (require 'clojure.string) (require 'clojure.java.io) (import org.apache.hadoop.conf.Configuration) (import org.apache.hadoop.fs.FileSystem) (import org.apache.hadoop.fs.Path) (import org.apache.hadoop.io.SequenceFile) (import org.apache.hadoop.io.Text) (import org.apache.mahout.math.VectorWritable) (import org.apache.mahout.math.SequentialAccessSparseVector) (with-open [reader (clojure.java.io/reader *in*)] (let [hadoop_configuration ((fn [] (let [conf (new Configuration)] (. conf set "fs.default.name" "hdfs://localhost:9000/") conf))) hadoop_fs (FileSystem/get hadoop_configuration)] (reduce (fn [writer [index value]] (. writer append index value) writer) (SequenceFile/createWriter hadoop_fs hadoop_configuration (new Path "test/sensei") Text VectorWritable) (map (fn [[tag row_vector]] (let [input_index (new Text tag) input_vector (new VectorWritable)] (. input_vector set row_vector) [input_index input_vector])) (map (fn [[tag photo_list]] (let [photo_map (apply hash-map photo_list) input_vector (new SequentialAccessSparseVector (count (vals photo_map)))] (loop [frequency_list (vals photo_map)] (if (zero? (count frequency_list)) [tag input_vector] (when-not (zero? (count frequency_list)) (. input_vector set (mod (count frequency_list) (count (vals photo_map))) (Integer/parseInt (first frequency_list))) (recur (rest frequency_list))))))) (reduce (fn [result next_line] (let [[tag photo frequency] (clojure.string/split next_line #" ")] (update-in result [tag] #(if (nil? %) [photo frequency] (conj % photo frequency))))) {} (line-seq reader))))))) Basically the script receives input (from stdin) in this format tag_uri image_uri count e.g. http://flickr.com/photos/tags/ísland http://flickr.com/photos/13980928@N03/6001200971 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/21207178@N07/5441742937 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/25845846@N06/3033371575 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/30366924@N08/5772100510 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/31343451@N00/5957189406 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/36662563@N00/4815218552 1 http://flickr.com/photos/tags/ísland http://flickr.com/photos/38583880@N00/5686968462 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/43335486@N00/5794673203 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/46857830@N03/5651576112 0 http://flickr.com/photos/tags/ísland http://flickr.com/photos/99996011@N00/5396566822 0 Then turn them into sequence file with each entry represents one point (10 dimensions in this example) with key set to tag_uri <http://flickr.com/photos/tags/ísland> and value set to point described by the frequency vector (0 0 0 0 0 1 0 0 0 0) I then use a script (available in 2 different variations) to send the data in as a clustering job, however I am getting error that I don't know how this can be fixed. It seems that something is wrong with the initial cluster. Script variation 1 #!./bin/clj (ns sensei.clustering.fkmeans) (import org.apache.hadoop.conf.Configuration) (import org.apache.hadoop.fs.Path) (import org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver) (import org.apache.mahout.common.distance.EuclideanDistanceMeasure) (import org.apache.mahout.clustering.kmeans.RandomSeedGenerator) (let [hadoop_configuration ((fn [] (let [conf (new Configuration)] (. conf set "fs.default.name" "hdfs://localhost:9000/") conf))) driver (new FuzzyKMeansDriver)] (. driver setConf hadoop_configuration) (. driver run (into-array String ["--input" "test/sensei" "--output" "test/clusters" "--clusters" "test/clusters/clusters-0" "--clustering" "--overwrite" "--emitMostLikely" "false" "--numClusters" "3" "--maxIter" "10" "--m" "5"]))) Script variation 2: #!./bin/clj (ns sensei.clustering.fkmeans) (import org.apache.hadoop.conf.Configuration) (import org.apache.hadoop.fs.Path) (import org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver) (import org.apache.mahout.common.distance.EuclideanDistanceMeasure) (import org.apache.mahout.clustering.kmeans.RandomSeedGenerator) (let [hadoop_configuration ((fn [] (let [conf (new Configuration)] (. conf set "fs.default.name" "hdfs://127.0.0.1:9000/") conf))) input_path (new Path "test/sensei") output_path (new Path "test/clusters") clusters_in_path (new Path "test/clusters/cluster-0")] (FuzzyKMeansDriver/run hadoop_configuration input_path (RandomSeedGenerator/buildRandom hadoop_configuration input_path clusters_in_path (int 2) (new EuclideanDistanceMeasure)) output_path (new EuclideanDistanceMeasure) (double 0.5) (int 10) (float 5.0) true false (double 0.0) false)) '' runSequential I am getting the same error with both variations SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. 11/08/25 15:20:16 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 11/08/25 15:20:16 INFO compress.CodecPool: Got brand-new compressor 11/08/25 15:20:16 INFO compress.CodecPool: Got brand-new decompressor 11/08/25 15:20:17 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 11/08/25 15:20:17 INFO input.FileInputFormat: Total input paths to process : 1 11/08/25 15:20:17 INFO mapred.JobClient: Running job: job_local_0001 11/08/25 15:20:17 INFO mapred.MapTask: io.sort.mb = 100 11/08/25 15:20:17 INFO mapred.MapTask: data buffer = 79691776/99614720 11/08/25 15:20:17 INFO mapred.MapTask: record buffer = 262144/327680 11/08/25 15:20:17 WARN mapred.LocalJobRunner: job_local_0001 java.lang.IllegalStateException: No clusters found. Check your -c path. at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper.setup(FuzzyKMeansMapper.java:62) at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:763) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:369) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:210) 11/08/25 15:20:18 INFO mapred.JobClient: map 0% reduce 0% 11/08/25 15:20:18 INFO mapred.JobClient: Job complete: job_local_0001 11/08/25 15:20:18 INFO mapred.JobClient: Counters: 0 Exception in thread "main" java.lang.RuntimeException: java.lang.InterruptedException: Fuzzy K-Means Iteration failed processing test/clusters/cluster-0/part-randomSeed at clojure.lang.Util.runtimeException(Util.java:153) at clojure.lang.Compiler.eval(Compiler.java:6417) at clojure.lang.Compiler.load(Compiler.java:6843) at clojure.lang.Compiler.loadFile(Compiler.java:6804) at clojure.main$load_script.invoke(main.clj:282) at clojure.main$script_opt.invoke(main.clj:342) at clojure.main$main.doInvoke(main.clj:426) at clojure.lang.RestFn.invoke(RestFn.java:436) at clojure.lang.Var.invoke(Var.java:409) at clojure.lang.AFn.applyToHelper(AFn.java:167) at clojure.lang.Var.applyTo(Var.java:518) at clojure.main.main(main.java:37) Caused by: java.lang.InterruptedException: Fuzzy K-Means Iteration failed processing test/clusters/cluster-0/part-randomSeed at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.runIteration(FuzzyKMeansDriver.java:252) at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClustersMR(FuzzyKMeansDriver.java:421) at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClusters(FuzzyKMeansDriver.java:345) at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.run(FuzzyKMeansDriver.java:295) at sensei.clustering.fkmeans$eval17.invoke(fkmeans.clj:35) at clojure.lang.Compiler.eval(Compiler.java:6406) ... 10 more Notice there is a runSequential flag for the 2nd variation, if I set it to true SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details. 11/09/07 14:32:32 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 11/09/07 14:32:32 INFO compress.CodecPool: Got brand-new compressor 11/09/07 14:32:32 INFO compress.CodecPool: Got brand-new decompressor Exception in thread "main" java.lang.IllegalStateException: Clusters is empty! at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClustersSeq(FuzzyKMeansDriver.java:361) at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.buildClusters(FuzzyKMeansDriver.java:343) at org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver.run(FuzzyKMeansDriver.java:295) at sensei.clustering.fkmeans$eval17.invoke(fkmeans.clj:35) at clojure.lang.Compiler.eval(Compiler.java:6465) at clojure.lang.Compiler.load(Compiler.java:6902) at clojure.lang.Compiler.loadFile(Compiler.java:6863) at clojure.main$load_script.invoke(main.clj:282) at clojure.main$script_opt.invoke(main.clj:342) at clojure.main$main.doInvoke(main.clj:426) at clojure.lang.RestFn.invoke(RestFn.java:436) at clojure.lang.Var.invoke(Var.java:409) at clojure.lang.AFn.applyToHelper(AFn.java:167) at clojure.lang.Var.applyTo(Var.java:518) at clojure.main.main(main.java:37) Now, if I cluster the data using the CLI tool, it will complete without error $ bin/mahout fkmeans --input test/sensei --output test/clusters --clusters test/clusters/clusters-0 --clustering --overwrite --emitMostLikely false --numClusters 10 --maxIter 10 --m 5 However, even there is this option: --clustering, I am not seeing any points in the cluster dump generated with this command $ ./bin/mahout clusterdump --seqFileDir test/clusters/clusters-1 --pointsDir test/clusters/clusteredPoints --output sensei.txt And yeah, the command completed without any error too. ... been stuck with this problem over and over again for months, and I can't still get the clustering done properly :( Best wishes, Jeffrey04