48 citations · 49 across the 5 of their papers we have counts for
5 papers
Band Depth based initialization of -Means for functional data clustering
Javier Albert-Smet, Aurora Torrente, Juan Romo
The -Means algorithm is one of the most popular choices for clustering data but is well-known to be sensitive to the initialization process. There is a substantial number of met…
Automatic elimination of the pectoral muscle in mammograms based on anatomical features
Jairo A. Ayala-Godoy, Rosa E. Lillo, Juan Romo
Digital mammogram inspection is the most popular technique for early detection of abnormalities in human breast tissue. When mammograms are analyzed through a computational method,…
Data learning from big data
José L. Torrecilla, Juan Romo
Technology is generating a huge and growing availability of observa tions of diverse nature. This big data is placing data learning as a central scientific discipline. It includes…
Homogeneity test for functional data
Ramón Flores, Rosa Lillo, Juan Romo
In the context of functional data analysis, we propose new two sample tests for homogeneity. Based on some well-known depth measures, we construct four different statistics in orde…
Shape Outlier Detection and Visualization for Functional Data: the Outliergram
Ana Arribas-Gil, Juan Romo
We propose a new method to visualize and detect shape outliers in samples of curves. In functional data analysis we observe curves defined over a given real interval and shape outl…