Questions tagged [hierarchical-clustering]
Hierarchical clustering is a clustering technique that generates clusters at multiple hierarchical levels, thereby generating a tree of clusters. Hierarchical clustering provides advantages to analysts with its visualization potential.
hierarchical-clustering
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Does DBCV score for density based clustering algorithms reward more granular clusters?
I am trying to run a hyperparameter search for HDBSCAN based on the DBCV scores. From what I observe, the DBCV score is generally higher for more granular clusters. Is it because DBCV rewards granular ...
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Is Riskfolio's HCPortfolio working right?
enter image description hereThis is a portion of my project where it yields the following graphic.
I noticed how the correlation between EWH and MCHI (which is usually move in parallel to each other) ...
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Clustering issue
I am learning clustering techniques and recently i have been working on a sample dataset(of a leading bank for customer segmentation)for the purpose of performing heirarchial and K-means clustering ...
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Adjusted Rand Index and Adjusted Mutual Information Score the same for BIRCH and Agglomerative Clustering?
I have a randomly generated dataset of synthetic clusters, with 25 files (each can contain up to 6 clusters with up to 15 points each) for each dimension from 2 to 100. My issue is that it seems that ...
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What are the right metrics to validate the performance of a custom clustering model with three possible outcomes?
I have developed a custom clustering model on top of MiniBatchKmeans, that has three possible outcomes for each data point:
Assign the point to the correct cluster.
Assign the point to the wrong ...
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Is there code resource about DDC-K-Means algorithm
code resource about this paper "Hierarchical Aggregation Approach for Distributed clustering of spatial datasets", why paper put code up to github. Oops '_'?
this paper
I have search some ...
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Applying Representation Model on Non-Leaf Nodes in Hierarchical Topics with BERTopic
I am currently using BERTopic for topic modeling on a set of documents and have integrated an OpenAI model as the representation layer, as outlined in the BERTopic documentation. I am also interested ...
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How to use the Agglomerative Clustering algorithm from scikit-learn python library with a declared number of objects in the cluster?
I use the scikit-learn Agglomerative Clustering python library in my code to automatically cluster points and place a new, larger point in the center of the cluster. I have a set of several thousand ...
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Key word argument "connectivity" in sklearn AgglomerativeClustering does not work as expected
In my Python code, I have a set of objects that I want to cluster based on a given distance matrix. However, there are some objects that should never end up in the same cluster. The number of clusters ...
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Calculating mean of coordinates for each unique value in large dataset for hierarchical analysis
I am a beginner with R, but I have been analysing a large data set of GPS data, made up of unique individuals (name) (approx 100 unique names) with 1,000,000+ lines of data. Each unique name has ...
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scipy: How to plot the hierarchical clustering tree
I am interested in plotting the tree represented by the output of hierarchy.to_tree().
To clarify my question, I give the following MWE:
import numpy as np
from scipy.cluster import hierarchy
from ...
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Hierarchical agglomerative clustering with complete linkage to cluster a 1dimensional dataset
I'm currently working on hierarchical agglomerative clustering and am familiar with its application to datasets presented in tables. However, I'm unsure how to apply this method to a 1-dimensional ...
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Clustering that results in long and narrow clusters
I have a large set of densely distributed points. Something like the image here.
I want to find clusters in the set of points that are one of the following:
"long and narrow", meaning that ...
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How to configure in build keepalived of opensips?
I am trying to configure opensips keepalived for nodes handling in cluster. I followed the instrustions mentioned in this guide. https://controlpanel.opensips.org/htmldoc_9_X_X/keepalived.html. After ...
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Clusters Documents and Classify New Ones
I am working on a project that has some documents, and, I need to classify them to a categoty. I believe it is topic modeling. One approach is using LLM models. However, I have limited data and ...
