Beyond the topological map : developing alternate mappings in self organisation

The self organising map is a well established unsupervised
learning technique which is able to form sophisticated representations of an input data set. However, conventional Self Organising Map (SOM) algorithms are limited to the production of topological maps — that is, maps where distance between points on the map have a direct relationship to the Euclidean distance between the training vectors corresponding to those points.

It would be desirable to be able to create maps which form clusters on primitive attributes other than Euclidean distance; for example, clusters based upon orientation or shape. Such maps could provide a novel approach to pattern recognition tasks by providing a new method to associate groups of data.

In this paper, it is shown that the type of map produced by SOM algorithms is a direct consequence of the lateral connection strategy employed. Given this knowledge, a technique is required to establish the feasability of using an alternative lateral connection strategy. Such a technique is presented. Using this technique, it is possible to rule out lateral connection strategies that will not produce output states useful to the organisation process. This technique is demonstrated using conventional Laplacian interconnection as well as a number of novel interconnection strategies.

Learning by drawing

Scientists use a range of visual forms to imagine new relations, test ideas and elaborate knowledge, with digital technologies increasingly used to construct elaborate maps, 3D simulations, graphs or enhanced photographs. These visual tools are not simply passive communication devices but actively shape how we build knowledge in science.

Electron backscatter diffraction (EBSD) map of AZ31 compressed to 1% strain at room temperature in a direction parallel to the extrusion direction

The collection contains an EBSD map of AZ31 compressed to 1% strain at room temperature in a direction parallel to the extrusion direction. The map was collected as part of an investigation into the role of twinning in the occurrence of a yield point elongation during deformation.

A hybrid Kansei engineering system using the self-organizing map neural network

Kansei Engineering (KE), a technology founded in Japan initially for product design, translates human feelings into design parameters. Although various intelligent approaches to objectively model human functions and therelationships with the product design decisions have been introduced in KE systems, many or the approaches are not able to incorporate human subjective feelings and preferenees into the decision-making process. This paper proposes a new hybrid KE system that attempts to make the machine-based decision-making process closely resembles the real-world practice. The proposed approach assimilates human perceptive and associative abililities into the decision-making process of the computer. A number of techniques based on the Self-Organizing Map (SOM) neural network are employed in the backward KE system to reveal the underlying data structures that are involved in the decision-making process. A case study on interior design is presented to evaluate the efficacy of the proposed approach. The results obtained demonstrate tbe effectiveness of the proposed approach in developing an intelligent KE system which is able to combine huiiUUI feelings and preferences into its decision making process.

Stone soup drawing exhibition and workshop

This series of drawings based on the folk tale of stone soup, axe soup and other tales of travel and engagement with a new community. I also conducted a community workshop in which people drew on paper prepared by myself in which memories and placeswere the focus. As the community drawings were produce I substituted them for the ones I had produced and left them with the festival committee as a gift to the community.

Incorrigible and undisciplined lines in visual social research : ways of ‘writing’ and ‘drawing’ at the interstices

In this paper the author traces the possibilities afforded by engaging with the aesthetic, historic and socio-political nature of shodo (Japanese calligraphy) as an intersectional space. Shodo literally translated as 'the way of writing' is an artistic practice bringing together ink, brush and paper. It is simultaneously a juncture between studied discipline and an ongoing mediation of subjectivities. The calligrapher/writer/drawer communicates to the reader through the bold or subtle brush strokes, the pressure and movement at the completion of each stroke. The calligrapher/writer/drawer draws across the boundaries of text and image to meet the reader blurring the lines between subject and object. This discussion re-examines the hierarchical binaries of writing/drawing, text/image, self/Other as they play out from vanishing lines of distinction between truth and conjecture. Crossing these binaries opens up opportunity for decentring and questioning representational practice by enabling other possible meanings and practices to emerge (Lather, 2007). I work from a stance of theoretical promiscuity in order to disrupt constitutive discourses and restore the liminal in social research. Drawing across the fragments of research projects I illustrate the generative and speculative space of visualising pedascapes in educational research.

Application of growing self-organizing map to distinguish between finger tapping and non tapping from brain images

Growing self-organizing map (GSOM) has been characterized as a knowledge discovery visualization application which outshines the traditional self-organizing map (SOM) due to its dynamic structure in which nodes can grow based on the input data. GSOM is utilized as a visualization tool in this paper to cluster fMRI finger tapping and non- tapping data, demonstrating the visualization capability to distinguish between tapping or non-tapping. A unique feature of GSOM is a parameter called the spread factor whose functionality is to control the spread of the GSOM map. By setting different levels of spread factor, different granularities of region of interests within tapping or non-tapping images can be visualized and analyzed. Euclidean distance based similarity calculation is used to quantify the visualized difference between tapping and non tapping images. Once the differences are identified, the spread factor is used to generate a more detailed view of those regions to provide a better visualization of the brain regions.

The drawer and the drawing

"The drawer and the drawing" is an installation that is a direct response to the Deakin artists books collection. Using original drawing, hand colouring, computer enhanced artwork, paper-cutouts, photographs, I created a glimpse of what the “book” tells me about the artist? I created "artworks, the books and the ephemera that was left over and behind when the “artbook” was taken away and placed in a gallery.

Interethnic understanding and belonging in suburban Melbourne

Modelling and mapping ethnicity is a methodological approach used to understand the changing socio-spatial structure of the city. Such an approach uses a range of indicators to identify ethnic groups, map them in urban space and explain the changing nature of ethnic concentrations. The unintended consequences, however, are the labelling, marginalisation and exclusion of ethnic minorities. Critical approaches, in contrast, focus on making visible the politics of representation that mark and stereotype ethnic minorities and ethnic concentrations. Within contemporary research on ethnicity such work has drawn attention to the exercise of power in the constitution of ethnic identities, the invisibility of whiteness and the inherent tensions that are likely to arise in negotiating ethnic cultural differences in local places. Although this article draws attention to such tensions in a particular place, Dandenong, it engages in this discussion to argue that the everyday negotiation of cultural difference also provides the potential to blur fixed ethnic boundaries and contribute to interethnic understanding and a sense of belonging. Drawing on in-depth interviews with people who live and/or work in Dandenong, suburban Melbourne, this article underlines that such positive insights from everyday multiculturalism have the potential to inform and broaden policy debates on diversity and social inclusion in the multicultural city.

Fast growing self organizing map for text clustering

This paper presents an integration of a novel document vector representation technique and a novel Growing Self Organizing Process. In this new approach, documents are represented as a low dimensional vector, which is composed of the indices and weights derived from the keywords of the document.

An index based similarity calculation method is employed on this low dimensional feature space and the growing self organizing process is modified to comply with the new feature representation model.

The initial experiments show that this novel integration outperforms the state-of-the-art Self Organizing Map based techniques of text clustering in terms of its efficiency while preserving the same accuracy level.