Dear Dmitriy, I really appreciate you as you write so long to clarify my confusion. Much appreciated. Thank you so much :)
Regards Prakash Poudyal On Thu, Apr 28, 2016 at 10:13 PM, Dmitriy Lyubimov <dlie...@gmail.com> wrote: > Prakash, > > (1) to be clear, the ASF trademark and branding policy is not to endorse > views of the 3rd party publications and to ask 3rd party writers to do a > disclosure that their views are not endorsed by ASF project. To that end, > ASF project can't really tell you that some publication is > "(in)appropriate". 3rd party publications are of their own account and > cannot be by default tied to the ASF views. That said, committers have > their opinions, which of course exhibit certain variation, and some things > do get linked on the site or mentioned on Twitter via Mahout account. But > some do not. Best practice is always to ask for pointers on the list first. > > (2) I am not sure what your definition of "appropriate" is, but on > personal note, most of these links were quite "appropriate" at the time in > the sense that they were published prior to release 0.10 and 2/2014 or > before 0.10, and therefore were describing what was in the project at that > time. Thus, MIA fuzzy k-means example in your very link is dated back of > June 2011 and is relevant to release circa 0.6 or 0.7. So if you mean > whether those algorithms were "in the fold" back then, the answer is yes, > they were. I see no contradiction between these publications and the > current reality. > > (3) If something deprecated reasonably works for a particular purpose, I > think there's no reason not to use/write about it. > > *However, I just don't think most of these particular deprecated > Java-based MR algorithms work for the purposes of an established benchmark > or a standard in a research -- modern edgy ML is usually much more faster > (and often, more convenient too). * > > Don't mean to come across as preachy, but research is usually held to > quite different standard as it comes to claims, than an ad-hoc industrial > application or a blog entry. I simply can't see how any of MR stuff can > work for that purpose today. > > (4) if your "appropriate"-ness question is really about why they were > deprecated, well, there are two main reasons for that. First, it seems that > the realization of MR limitations w.r.t. iterative applications quickly > caught up with both users and contributors, and, second, most contributors > abandoned their MR contributions (most likely for the same reason). I > contributed a couple of MR algorithms back in 2010-2011 but i am absolutely > fine with them being deprecated and written off the books. If something is > not being used, or people (exactly as your case has demonstrated) don't get > answers to their questions, or bugs are not being fixed, it is difficult to > justify keeping the code. It is much easier to focus on what is actually > being used and maintained instead. Here, the very banal and boring reason > for the deprecations. > > (5) Finally, If your goal is simply to learn "how the project works", just > like Suneel said, i'd suggest to follow release notes and the project site > (news and howtos) -- your last link in fact should perhaps be your first. > And the list, of coure. > > As you probably can tell by release notes, the last two years were > practically exclusively about multiplatform Mahout involvement with Spark, > Flink and H20 backends, as well as the Samsara environment for general > numeric analysis (but no MR stuff beyond very nominal fixes). > > I also agree that it looks like the Mahout site perhaps should be more > clear about the status of MR algorithms (it used to be more clear, I think, > but every news eventually becomes an old news). > > Hope this clarifies. > > -d > > On Thu, Apr 28, 2016 at 12:02 PM, Prakash Poudyal < > prakashpoud...@gmail.com> wrote: > >> Hi! >> >> Thank you for your emails !! >> >> Actually, I need to use fuzzy clustering to cluster the sentence in my >> research. This is my goal. >> >> I started to use Fuzzy K means clustering of Mahout since last week !!! I >> found several blogs links, and many other helpful documents !!!! I was >> going through, as being new, I realize this the best, easy and fast way to >> know about Mahout works. In my opinion, many new commers do the same as I >> do. After being used to the tools, than only people focus on the works and >> go deeply. >> >> I had gone through many blogs and sites to know about Mahout, some of >> them are below : >> >> http://technobium.com/introduction-to-clustering-using-apache-mahout/ >> >> http://tuxdna.github.io/pages/mahout.html >> >> >> https://github.com/tdunning/MiA/blob/master/src/main/java/mia/clustering/ch09/FuzzyKMeansExample.java >> >> http://www.programering.com/a/MDNwgTMwATI.html >> >> >> https://www.safaribooksonline.com/library/view/apache-mahout-clustering/9781783284436/ch04.html >> >> https://ymnliu.wordpress.com/2015/11/05/install-apache-mahout-in-eclipse/ >> >> https://mahout.apache.org/ >> >> What do you say about these sites !! Is these sites are not appropriate >> ??? >> >> I raise my problem several time, in mailing list and even IRC but I got >> response !! just today :( >> >> So finally, it would be great, if you could reply the answers of my >> following question . >> >> Is Apache Mahout appropriate tool for clustering sentences through >> fuzzy-clustering ? >> >> If answer is "YES" >> >> Which version of Mahout ? >> >> Can you write the steps that I need to followed, or give me >> appropriate documentation (links) ? >> >> >> Thanks >> Prakash Poudyal >> Portugal >> >> >> -- Regards Prakash Poudyal
