Package org.apache.mahout.utils.clustering

Examples of org.apache.mahout.utils.clustering.ClusterDumper.printClusters()

247
248
249
250
251
252
253
254
255
256
257
    Configuration conf = new Configuration();
    DirichletDriver.run(conf, getTestTempDirPath("testdata"), output, description, 15, 10, 1.0, true, true, 0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testDirichlet3() throws Exception {
    Path output = getTestTempDirPath("output");
View Full Code Here
264
265
266
267
268
269
270
271
272
273
274
    Configuration conf = new Configuration();
    DirichletDriver.run(conf, getTestTempDirPath("testdata"), output, description, 15, 10, 1.0, true, true, 0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  //@Test
  public void testKmeansSVD() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
323
324
325
326
327
328
329
330
331
332
333
    // now run the KMeans job
    KMeansDriver.run(svdData, new Path(output, "clusters-0"), output, measure, 0.001, 10, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  //@Test
  public void testKmeansDSVD() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
360
361
362
363
364
365
366
367
368
369
370
    // now run the KMeans job
    KMeansDriver.run(sData.getRowPath(), new Path(output, "clusters-0"), output, measure, 0.001, 10, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  //@Test
  public void testKmeansDSVD2() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
399
400
401
402
403
404
405
406
    KMeansDriver.run(sData.getRowPath(), new Path(output, "clusters-0"), output, measure,
        0.001, 10, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
}
View Full Code Here
92
93
94
95
96
97
98
99
100
101
102
    CanopyDriver.run(new Configuration(), directoryContainingConvertedInput,
        output, measure, t1, t2, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
        "clusters-0"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }

  @Override
  public int run(String[] args) throws Exception {
View Full Code Here
178
179
180
181
182
183
184
185
        Cluster.INITIAL_CLUSTERS_DIR), output, measure, convergenceDelta,
        maxIterations, fuzziness, true, true, 0.0, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
}
View Full Code Here
185
186
187
188
189
190
191
192
193
194
195
    CanopyDriver.run(getConfiguration(), getTestTempDirPath("testdata"),
        output, measure, 8, 4, true, 0.0, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
        "clusters-0-final"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
 
  @Test
  public void testKmeans() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
203
204
205
206
207
208
209
210
211
212
213
    KMeansDriver.run(conf, getTestTempDirPath("testdata"), new Path(output,
        "clusters-0-final"), kMeansOutput, 0.001, 10, true, 0.0, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(kMeansOutput, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }

  @Test
  public void testJsonClusterDumper() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
222
223
224
225
226
227
228
229
230
231
232
        "clusters-0-final"), kmeansOutput, 0.001, 10, true, 0.0, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(kmeansOutput, "clusteredPoints"));
    clusterDumper.setOutputFormat(ClusterDumper.OUTPUT_FORMAT.JSON);
    clusterDumper.printClusters(termDictionary);
  }
 
  @Test
  public void testFuzzyKmeans() throws Exception {
    DistanceMeasure measure = new EuclideanDistanceMeasure();
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.