pith. sign in

arxiv: 1701.05335 · v3 · pith:CZX7RGGInew · submitted 2017-01-19 · 💻 cs.LG · stat.ML

Validity of Clusters Produced By kernel-k-means With Kernel-Trick

classification 💻 cs.LG stat.ML
keywords gowercorrectionkernelcitecorrectsmatrixmeansproof
0
0 comments X
read the original abstract

This paper corrects the proof of the Theorem 2 from the Gower's paper \cite[page 5]{Gower:1982} as well as corrects the Theorem 7 from Gower's paper \cite{Gower:1986}. The first correction is needed in order to establish the existence of the kernel function used commonly in the kernel trick e.g. for $k$-means clustering algorithm, on the grounds of distance matrix. The correction encompasses the missing if-part proof and dropping unnecessary conditions. The second correction deals with transformation of the kernel matrix into a one embeddable in Euclidean space.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.