clusters | Data structs and algorithms for clustering data observations | Machine Learning library

I need to split my products into a total of 120 predefined price clusters/buckets. These clusters can overlap and look somewhat like that:

As I dont want to write down all of these strings manually: Is there a convenient way to do this in M or DAX directly using a bit of code?

Thanks in advance! Dave

I have two data frames. df1 and df2. both with c columns
using a clustering method, I ended up with 10 clusters. same clusters for each df is true. this means for example the 4th row of both df s go to the same cluster.
I added a cluster column to both dfs, showing the assigned cluster for each row.

I want to create a list.
this list contains 10 matrices, such that.
matrix 1, is a 2*c matrix. its first row is obtained by colmeans of those rows of df1 which are in cluster 1. and its 2nd row is obtained by colmeans of those rows of df2 which are in cluster 1.
and matrix 2 , colmeans of cluster 2 and so on.
this is what I ve done. but I get the 10th matrix only and not a list of matrices 1 to 10.
I would appreciate any help with this.

I am new to zimpl and I am currently trying to modell the GTSP. The setting is that we have nodes which are grouped into clusters. My problem is i dont know how to implement in zimpl which node belongs to which cluster.

What I did so far:

set V:= {1..6}; set A:= { in V*V with i < j};
set C:= {1,2,3};
set W:= { in C*C with p < q};
set P[]:= powerset(C); set K:= indexset(P);

I am guessing something is missing because i want to group node 1,2 in cluster 1, 3,4 in cluster 2 and 5,6 in cluster 3.

Some background Information:

Let G = (V, A) be a graph where V=1,2,...,n is the set of nodes and A = {(i, j): i, j ∈ V, i ≠ j} is the set of directed arcs (or edges), and let c_ij be the travel distance (or cost or time) from node i to node j. Let V1, V2, ... , Vk be disjoint subsets of V such that union of these subsets equals to V. These subsets are called clusters. The GTSP is to find the tour that (i) starts from a node and visits exactly one node from each cluster and turns back to the starting node (ii) never visit a node more than once and (iii) has the minimum total tour length. Associated with each arc, let x_ij be a binary variable equal to “1” if the traveler goes from node i to node j, and “0” otherwise.

Thats the mathematicl model I want to model: min∑i∈V ∑j∈V\{i} cijxij subject to: ∑i∈Vp ∑j∈V\Vp xij = 1 (p= 1, ..., k) ∑i∈V\Vp ∑j∈Vp xij = 1 (p= 1, ..., k) ∑j∈V\{i} xji − ∑j∈V\{i} xij = 0 (∀i∈V) xij∈{0,1} ∀(i, j)A up−uq+k ∑i∈Vp ∑j∈Vq xij+(k−2)∑i∈Vq ∑j∈Vp xij ≤ k−1 (p≠q;p,q=2,...,k) up≥0 (p=2, ..., k) (Thats the link for the paper: http://www.wseas.us/e-library/conferences/2012/Vouliagmeni/MMAS/MMAS-09.pdf)

Maybe someone can help! thanks

I am digging deeper to kubernetes architecture, in all Kubernetes clusters on-premises/Cloud the master nodes a.k.a control planes needs to be Linux kernels but I can't find why?

I'm attempting to reshard my cadence cluster using the provided guidance by creating a new cluster with a number of higher number of shards and then enabling XDC . What's the latest version of Cadence that isn't effected by the Allow CrossDC to replicate between clusters with different numbOfShards bug?

Is there a way to determine if an existing domain is registered as a global domain?

This is my first post here and I am not that experienced, so please excuse my ignorance.

I am building a Monte Carlo simulation in C++ for my PhD and I need help in optimizing its computational time and performance. I have a 3d cube repeated in each coordinate as a simulation volume and inside every cube magnetic particles are generated in clusters. Then, in the central cube a loop of protons are created and move and at each step calculate the total magnetic field from all the particles (among other things) that they feel.

At this moment I define everything inside the main function and because I need the position of the particles for my calculations (I calculate the distance between the particles during their placement and also during the proton movement), I store them in dynamic arrays. I haven't used any class or function,yet. This makes my simulations really slow because I have to use eventually millions of particles and thousands of protons. Even with hundreds it needs days. Also I use a lot of for and while loops and reading/writing to .dat files.

I really need your help. I have spent weeks trying to optimize my code and my project is behind schedule. Do you have any suggestion? I need the arrays to store the position of the particles .Do you think classes or functions would be more efficient? Any advice in general is helpful. Sorry if that was too long but I am desperate...

Ok, I edited my original post and I share my full script. I hope this will give you some insight regarding my simulation. Thank you.

Additionally I add the two input files

parametersDiffusion_spher_shel.txt

parametersIONP_spher_shel.txt

I created a docker container using the standard "image: postgres:13", but inside the container it doesn't start postgresql because there is no cluster. What could be the problem? Thx for answers!

My docker-compose:

I'm confused about the difference between the following parameters in HDBSCAN

1. min_cluster_size
2. min_samples
3. cluster_selection_epsilon

Correct me if I'm wrong.

For min_samples, if it is set to 7, then clusters formed need to have 7 or more points. For cluster_selection_epsilon if it is set to 0.5 meters, than any clusters that are more than 0.5 meters apart will not be merged into one. Meaning that each cluster will only include points that are 0.5 meters apart or less.

How is that different from min_cluster_size?

I have my python3.7 installed on following path on my windows - C:\ProgramData\Microsoft\Windows\Start Menu\Programs\Python 3.7

I am trying to connect GCP GKE cluster using GitBash and when i run below gcloud command to connect GKE cluster i am getting an python not found error.

$ gcloud container clusters get-credentials appcluster --region us-east4 --project dev /c/Users/surendar/AppData/Local/Google/Cloud SDK/google-cloud-sdk/bin/gcloud: line 181: exec: python: not found

Any suggestion's please to resolve the error?

Below is the Google/Cloud SDK/google-cloud-sdk/bin/gcloud file

181 line points to below declaration which is last line of the file

exec "$CLOUDSDK_PYTHON" $CLOUDSDK_PYTHON_ARGS "${CLOUDSDK_ROOT_DIR}/lib/gcloud.py