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我目前正在嘗試使用由elki庫提供的KMeans聚類功能。ELKI中非常簡單的K均值聚類示例
這是我想出了:
double[][] dblArray = new double[100][10] // 100 10-dimensional data points
//populate array...
KMeansInitialization<NumberVector<Double>> kinit = new FirstKInitialMeans<>();
KMeansLloyd<NumberVector<Double>, DoubleDistance> kmeans
= new KMeansLloyd<NumberVector<Double>, DoubleDistance>(EuclideanDistanceFunction.STATIC, K, KMEANSMAXITER, kinit);
DatabaseConnection dbc = new ArrayAdapterDatabaseConnection(dblArray));
Database d = new StaticArrayDatabase(dbc, null);
kmeans.run(d);
Elki給我:
de.lmu.ifi.dbs.elki.data.type.NoSupportedDataTypeException:無數據 類型發現滿足:NumberVector,字段AND NumberVector可用 類型:at de.lmu.ifi.dbs.elki.database.AbstractDatabase.getRelation(Unknown Source)at de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm.run (UNK nown源)
argh:D謝謝 – Simbi 2014-10-30 14:29:08