ABSTRACT Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of surveys, a variety classification techniques have been successfully applied to astronomical data processing. However, it difficult select an appropriate method practical scenarios due different algorithmic ideas characteristics. Here, we present second w...

Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many methods have been applied tackle spectroscopic and photometric data effectively automatically. Meanwhile, performance under different characteristics varies greatly. aim summarizing algorithms laying foundation further research, this work...

Abstract. TOPCAT is a widely used desktop application for manipulation of astronomical catalogs and other tables, which has long provided fast interactive visualization features including 1, 2 and 3-d plots, multiple datasets, linked views, color coding, transparency and more. In Version 4 a new plotting library has been written from scratch to deliver new and enhanced visualization capabilitie...

The Virtual Observatory (VO) for Astronomy is a framework that empowers astronomical research by providing standard methods to find, access, and utilize astronomical data archives distributed around the world. VO projects in the world have been strenuously developing VO software tools and/or portal systems. Interoperability among VO projects has been achieved with the VO standard protocols defi...

This article describes an internet infrastructure for working with data called DataSpace. A distributed DataSpace application containing data from the 2MASS and DPOSS astronomical data sets is also described. DataSpace is designed so that client applications supporting the remote analysis and distributed mining of data are easy to build.