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DB-Indexes for selected paper-clusters

Method

The 500 most cited or all accessible papers from the following journals where downloaded, and there citation records accessed:

analytical journals:

continental journals:

The citation data was stripped to the cited authors. The resulting documents where tokenized - divided into single words. Then it was determined for every paper if it contained any of the found names.

Paper Nr.|Heidegger|Ryle|... -----|---------|----|--- 1 | 1 |0|... 2|1|0|... 3|0|1|...

These resulting examples where clustered with a K-means-Algorithm. The Davies-Bouldin-Indexes for this Clustering are shown above. A low index indicates good clustering, which means that the clusters have high internal consistency and are very different to each other So we can say that the hypothesis of two clusters (eg. analytic and continental philosophy) seems not particulary merited (DB = 8.6), expecially when compared to 7 clusters, which yields a DB of 6.92.