No, I don't believe I am talking about PCA. But anyway, you are unable to demonstrate how you implement PCA or anything else, because your algorithm is "far from complete".
You are unable to apply your conception of the problem to my simple example of re-ordering a set. How about PCA itself? If that's what you think I am suggesting, can you show how PCA would apply to my simple example? On Mon, Jun 24, 2024 at 9:14 AM Boris Kazachenko <cogno...@gmail.com> wrote: > > What I mean by contradiction is different orderings of an entire set > of data, not points of contrast within a set of data > > That's not what people usually mean by contradiction, definitely not in a > general sense. > > You are talking about reframing dataset (subset) of multivariate items along > the spectrum of one or several most predictive variable in items. This is > basically a PCA, closely related to Spectral Clustering I mentioned in the > first section of my readme: "Initial frame of reference here is space-time, > but higher levels will reorder the input along all sufficiently predictive > derived dimensions, similar to spectral clustering." > ... > I can't give you any demonstration because my algo is far from complete. It > would be like like demostrating how ANN works before you figure out how > single-node perceptron works. Except that my scheme is hundreds of times more > complex than perceptron. You just have to decide for yourself if it makes > sense from the first principles. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T682a307a763c1ced-Ma2a9d38780ee195464364b37 Delivery options: https://agi.topicbox.com/groups/agi/subscription
