| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| args<-commandArgs(TRUE) |
| options(digits=22) |
| library("Matrix") |
| library("matrixStats") |
| |
| X = matrix(seq(1,6000)/6000, 600, 10, byrow=TRUE); |
| C = matrix(seq(1,40)/40, 4, 10, byrow=TRUE); |
| |
| D = -2 * (X %*% t(C)) + matrix(1,nrow(X),1)%*%t(rowSums (C ^ 2)); |
| P = (D <= (rowMins (D) %*% matrix(1, 1, ncol(D)))); |
| aggr_P = t(apply(t(P), 2, cumsum)); |
| R = rowSums (aggr_P == 0) + 1 |
| |
| writeMM(as(R, "CsparseMatrix"), paste(args[2], "S", sep="")); |
