We present a framework for clustering with cluster-specific feature selection. The framework, CRAFT, is derived from asymptotic log posterior formulations of nonparametric MAP-based clustering models. CRAFT handles assorted data, i.e., both numeric and categorical data, and the underlying objective functions are intuitively appealing. The resulting algorithm is simple to implement and scales ni...

In Latvia, the aim, content, and name of subject craft education have changed several times. The most recent transformation to “craft education” has been made following general reform, which gradually implemented since 2020. This study aims investigate how purpose content learning in Latvian comprehensive schools as a result this reform comparison previous period. A qualitative was carried out ...

Collaboration between disciplines is necessary when research questions cannot be answered within a single discipline. Joining of forces can produce results that neither discipline could provide alone. Here we exemplify collaboration ceramic craft researcher and three neuroscientists working in the field human brain imaging. In our case study clay throwing, researcher–practitioner’s eye gaze, mu...

This paper presents a hybrid model of teaching and learning that proposes new possibilities for exchang­ing tangible intangible cross-cultural knowledge in textile craft education. The aims to demonstrate how online platforms can be used creatively disseminate traditional skills ways. discussion centres on unique virtual global studio between fashion undergraduate students at the University Tec...