Lung adenocarcinoma (LUAD) is a complex disease with unclear molecular characteristics. In this study, a comprehensive computer analysis of genomic data was used to investigate the molecular characteristics of LUAD subtypes based on angiogenic genes. Non-negative matrix factorization (NMF) clustering was performed using 1297 genes related to angiogenesis. Two subtypes of LUAD (C1 and C2) were found with different survival times based on in-depth computer data analysis. The novel classification shows that the proportion of immune cells and CD247 expression was higher in the C1 subtype than in the C2. The activation scores of TGF-Beta, TP53, WNT, and angiogenesis pathways in the C1 group were higher than those in the C2 group. The ESTIMATE immune scores and multiple related pathways enrichment score based on GO and KEGG computer enrichment analysis of C1 was higher than the C2 subgroup. The two subtypes with significantly different mutation ratios of multiple critical genes were significantly related to the sensitivity of clinical chemotherapy drugs such as JNK.Inhibitor.VIII, Docetaxel, GW843682X, which indicated a greater sensitivity to immunotherapy in the C1 subtype. Besides, the expression of 10 key angiogenic genes and nine hypoxia-associated genes was significantly correlated with survival, according to longitudinal follow-up computer analysis. Our angiogenic clustering leads to the development of a new method of LUAD genotyping with stabilized and predictive features, which allows a better understanding of LUAD heterogeneity and may facilitate novel clinical antiangiogenic therapy strategies.