2. We will classify papers about innovation as either open or closed innovation. Below are titles of those papers. Please answer following questions. ( ' ' . .) Number Title 1 Leveraging external sources of innovation: a review of research on open innovation R&D, innovation, and economic growth: An empirical analysis How organizational factors influence closed R&D innovation and growth Open versus closed R&D innovation: A model of discovery and external growth The influence of closed innovation on R&D and economic performance How to integrate open discovery and innovation An external souces to internal capability by blurring open boundary 2 3 4 5 6 7 (1) Find the most simiar document with the first document by using the Euclidean distab ce-based similarity. (3pts) ( ) (2) Find the most similar document with the sixth document by using the Euclidean distance-based similarity (3ts) ( ) (3) Assume that K=2. Centorids are first and third documents. Do the clustering. show its results, and interpret clusters. (5pts) (K-means K 2 . (initial centroid) . , .) 2. We will classify papers about innovation as either open or closed innovation. Below are titles of those papers. Please answer following questions. ( ' ' . .) Number Title 1 Leveraging external sources of innovation: a review of research on open innovation R&D, innovation, and economic growth: An empirical analysis How organizational factors influence closed R&D innovation and growth Open versus closed R&D innovation: A model of discovery and external growth The influence of closed innovation on R&D and economic performance How to integrate open discovery and innovation An external souces to internal capability by blurring open boundary 2 3 4 5 6 7 (1) Find the most simiar document with the first document by using the Euclidean distab ce-based similarity. (3pts) ( ) (2) Find the most similar document with the sixth document by using the Euclidean distance-based similarity (3ts) ( ) (3) Assume that K=2. Centorids are first and third documents. Do the clustering. show its results, and interpret clusters. (5pts) (K-means K 2 . (initial centroid) . , .)