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| ipfCluster | Creates clusters using the specified method |
| ipfDist | Distance function |
| ipfEstbp | Estimates the positions of the access points |
| ipfEstimate | Estimates the location of the test observations |
| ipfGroup | Creates groups based on the specified parameters |
| ipfKnn | Implements the k-nearest neighbors algorithm |
| ipfPlotEcdf | Plots the cumulative distribution function of the estimated error |
| ipfPlotEst | Plots the estimated locations |
| ipfPlotLoc | Plots the spatial location of the observations |
| ipfPlotPdf | Plots the probability density function of the estimated error |
| ipfProb | This function implements a probabilistic algorithm |
| ipfProx | Estimates the position of the observations from its fingerprints and the access point location usins a logarithmic path loss model |
| ipfpwap | Indoor localization data set with the positions of the wireless access points present in the ipftrain and ipftest data sets. Unknown locations are stored as NAs. Data from the positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016). |
| ipftest | Indoor localization test data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016). |
| ipftrain | Indoor localization training data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016). |
| ipfTransform | Transform function |