Sometimes a question may not be very useful but the answer may be. I know that the accepted answer is the most useful one to the OP. But for other users, the most useful answer might be some other answer. Being able to mark that answer as a favorite answer would make it easier to find for future reference.
Lots of questions are very generic, &quot;share an experience&quot; kinds of questions. In these cases, I am quite often interested in specific answers that may not have gotten that many upvotes. These questions also tend to elicit lots of responses, so going back to find the answers I'm interested in somewhere in the middle of a sea of responses is a pain. Is there a way to favorite or bookmark these answers?
Fit mixture of distributions to your time-series data in R I have time-series data containing 1440 observations and the plot of the data is   I want to fit the Gaussian Mixture Models (GMM) to the above plot, and for the same I am using Mclust function of  package. Finally, I want a fit somewhat like this:   On using Mclust function, I do get following statistics     mclus_data &lt;- Mclust(givendataseries)    &gt; summary(mclus_data) ---------------------------------------------------- Gaussian finite mixture model fitted by EM algorithm  ----------------------------------------------------  Mclust E (univariate, equal variance) model with 8 components:   log.likelihood    n df      BIC      ICL        9525.438 1440 16 18934.52 18183.67  Clustering table:    1    2    3    4    5    6    7    8  1262    0    0    0    0   13  114   51    In the above statistic, I can not understand following:   Significance of log.likelihood, BIC and ICL. I can understand what each of them is, but what their magnitude/value refers to? It shows there are 8 clusters, but why cluster no. 2,3,4,5 has 0 values? What does this mean? From the plot it is clear that there must be two Guassians, but why Mclust function shows there are 8 Guassians?   Update: Actually, I want to do model based clustering of time series data. But currently  I want to fit the distribution to my raw data, as shown in Figure 1 on page no. 3 of  paper. For your quick reference, mentioned figure in said paper is When we canonically quantize the scalar field in QFT, we use a Lorentz invariant integration measure given by $$\widetilde{dk} \equiv \frac{d^3k}{(2\pi)^3 2\omega(\textbf{k})}.$$  How can I show that it is Lorentz invariant? The  badge seems like a great candidate for a trackable badge: it requires doing a thing multiple times, there aren't any other requirements to get it, and it is (seems?) quite easy to determine how many times the thing has been done.  But Convention does not appear in the list of badges that can be tracked. I would like to be able to see a quick count of my well-received meta posts without going to my meta user activity page and poking around. Is the 64-Bit version of Ubuntu only compatible with AMD CPUs? Objects stuck in solid mode? I can't figure out what is causing this I tried removing the materials for the objects as well as re-assigning new materials and flipping normals I don't know what is causing this issue for the model.  The head seems to be working like it should but the body doesn't turn white in textured mode or black in material mode. I'm using default blender render Why is accuracy not the best measure for assessing classification models? Can I disable charging peripherals via USB? I have an external DAC with it's own source of power. However when I connect it to the phone, it drains the phones battery. Is it possible to disable charging via USB on a rooted phone? Or at least slow it down?  My phone is Samsung Galaxy S3, Android 6, CyanogenMod At what pressure will be particles in a medium be unable to form a sound wave when disturbed? How can this pressure be described mathematically?  My guess is that this would correspond to the point at which the restoring force due to pressure is unable to create a transverse wave and the disturbed particles travel infinitely far away before the hypothetical wave reaches it's amplitude. But I have no idea how you would even begin to start finding a quantitative value for this point. Determining if trees within forest gaps are clustered using R? Is there a C pre-processor which eliminates #ifdef blocks based on values defined/undefined? Without appealing to choice, can we prove that if $X$ is well-orderable, then so too is $2^X$? Without appealing to the axiom of choice, it can be shown that (Proposition:) if $X$ is well-orderable, then $2^X$ is totally-orderable.  Question: can we show the stronger result that if $X$ is well-orderable, then so too is $2^X$?  Proof of Proposition. Pick any well-ordering of $X$. Then the lexicographic order totally orders $2^X$.  More explicitly: for any two $f,g \in 2^X$, define $f &lt; g$ iff   there exists $x \in X$ such that $f(x) \neq g(x)$, and if $x \in X$ is minimal such that $f(x) \neq g(x)$, then $f(x)=0$ and $g(x)=1$.   It can be shown that $&lt;$ totally-orders $2^X$. Enumerate non-isomorphic graphs on n vertices In the following the graphs are assumed to be undirected and simple.  1.Enumerate the number of non-isomorphic graphs on $n$ vetrices where $n$ is fixed.  Here are some ideas I had:  The number of labeled graphs is $ 2^{\frac{n(n-1)}{2}} $.  So it is enough to find the number unlabeled graphs on $n$ vertices.I have no idea for this.  2.Enumerate the number of non-isomorphic graphs on $n$ vertices and $m$ edges where $n,m$ are fixed.   Can we find a closed formula for each of this?  Any help?   Thank you! Kate forces itself to be the default application for HTML $X$,$Y$,$Z$ mutually independent implies $X+Y$ independent of $Z$ Difference in meaning of "frustrated at" and "frustrated with" What is the difference in meaning of "frustrated at" and "frustrated with" used in sentences like     He is frustrated with me   or      He is frustrated at me   When is each of these sentences above are used? Is there a way I can see a list of all my YouTube comments over time? I posted something the other day and wish I could find the video again. Is there a way I can see all of my comments? Identify GoogleTv from Android app I keep hearing about tandem breakers, and how they won't work with 240V loads and how they should never be used for a multi-wire branch circuit.  Aside from those issues...  What is a tandem breaker?     (note: they can be thrown independently). Double and triple substitution in bash and zsh Follow-up to the background part in .  In bash I can use ${!FOO} for double substitution, in zsh ${(P)FOO}. In both, the old-school (hack-y) eval \$$FOO works.  So, the smartest and most logical thing for me would be ${${FOO}}, ${${${FOO}}}… for double/triple/n substitution. Why doesn’t this work as expected?  Second: What does the \ do in the eval statement? I reckon it’s an escape, making something like eval \$$$FOO impossible. How to do a triple/n substitution with that that works in every shell? Why do we say there is an overall negative charge on the intracellular side of the plasma membrane at rest, and an overall positive charge on the extracellular side when both potassium and sodium are positively charged ions, and they are in relatively equal amounts on either side? It seems to me that both sides should be positively charged, and I can't get my head around it.