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A. Borusan

25.05.2011, 16 Uhr c.t. Raum: EN 732, TU Berlin, Einsteinufer 17, 10587 Berlin: "On Finding Complementary Clusterings and the WMO Information System" (Timo Proescholdt)

On Finding Complementary Clusterings:
In many cases, a dataset can be clustered following several criteria
that complement each other: group membership following one criterion
provides little or no information regarding group membership following
the other criterion. When these criteria are not known a priori,
they have to be determined from the data. I will discuss a new method
for jointly finding the complementary criteria and the clustering
corresponding to each criterion.

On the WMO Information System:
The WMO Information System (WIS) is developed to continue ensuring the
international exchange of WMO products, such as meteorological,
climatological and hydrological data in the 21st century.
WIS is a global information management system, designed as a distributed
system using a service oriented architecture to guarantee
interoperability systems in 189 countries.
In WIS information is modeled with the ISO19139 and ISO19115 metadata
standards for geospatial information, and included into the
comprehensive catalogue. The interoperability requirements ascertain
that this information can also be used in other communities.
A future challenge is to make the information easier to find for users
on the WIS search portals with information retrieval techniques as well
as clustering and categorization algorithms.