| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| |
| X = read($1, data_type = "frame", format = "csv") |
| X = as.matrix(X[, 2:5]) |
| [prob, labels, df, bic] = gmm(X=X, n_components = $2, model = $3, init_params = $4, iter = $5, reg_covar = $6, tol = $7, verbose=TRUE) |
| out = (rowMaxs(prob) < 0.7) |
| cluster = colSums(prob == rowMaxs(prob)) |
| # print("clusters "+toString(cluster)) |
| # print("bic "+bic) |
| # print("df "+df) |
| write(prob, $8) |
| write(out, $9) |
