In this paper, we present a prototype system, an integrated data management system, which is capable of querying, retrieving, and visualizing datasets with heterogeneous formats and large sizes without requiring users to have any knowledge of any other specific software.
To cluster the proteins according to the codon usage data we used an unsupervised clustering method analysis, SOM, which is a clustering method based on neural networks, and it helps to visualize datasets by mapping a high dimensional data space into a two dimensional space [ 26].
Historically, fossil workers visualized slice datasets by constructing physical models (e.g., Sollas 1904; Sollas and Sollas 1914; Jefferies and Lewis 1978).
Due to huge spatial datasets of Wenchuan, China and narrow network bandwidth, general-purpose applications are difficult to transmit and visualize these datasets on the network.
Quantitative evaluations have indicated that Cabinet Tree is capable of visualizing huge datasets.
The machine learning platform combines computer science with a branch of mathematics called "Topological Data Analysis," which allows Ayasdi to visualize entire datasets at once.
In the next section, we discuss OSMvis, a project that visualizes these datasets with the aim of fostering explorative analyses.
The CheS-Mapper program is a graphical application that can be used to visualize chemical datasets of small molecules (compounds).
For a citizen being able to visualize multiple datasets and to analyse and extract insights from them, the data first needs to be harmonized.
First, visualizing large datasets with tens of thousands of compounds might be sometimes impractical due to screen size limitations; second, mapping molecules to coordinates is often itself dependent on the original input.
