37 citations · 97 across the 6 of their papers we have counts for
6 papers
An in-depth exploration of LAMOST Unknown spectra based on density clustering
Haifeng Yang, Xiaona Yin, Jianghui Cai +6
LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) has completed the observation of nearly 20 million celestial objects, including a class of spectra labeled `Unkno…
Data mining techniques on astronomical spectra data. II : Classification Analysis
Haifeng Yang, Lichan Zhou, Jianghui Cai +5
Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification…
Data mining techniques on astronomical spectra data. I : Clustering Analysis
Haifeng Yang, Chenhui Shi, Jianghui Cai +5
Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods ha…
SVM-Lattice: A Recognition & Evaluation Frame for Double-peaked Profiles
Haifeng Yang, Caixia Qu, Jianghui Cai +2
In big data era, the special data with rare characteristics may be of great significations. However, it is very difficult to automatically search these samples from the massive and…
A Sample of E+A Galaxy Candidates in LAMOST Data Released 2
Haifeng Yang, Ali Luo, Xiaoyan Chen +14
A sample of 70 E+A galaxies are selected from 37, 206 galaxies in the second data release (DR2) of Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) according to t…
A Search for Spectral Galaxy Pairs of Overlapping Galaxies based on Fuzzy Recognition
Haifeng Yang, Ali Luo, Xiaoyan Chen +7
The Spectral Galaxy Pairs (SGPs) are defined as the composite galaxy spectra which contain two independent redshift systems. These spectra are useful for studying dust properties o…