Questions tagged [feature-clustering]
19 questions
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Text Clustering and LDA model
I'm new to NLP. Currently, I have an unlabelled dataset which has about 10,000 rows and I tried both Text clustering and LDA model to get a few keywords that falls under clusters/topics.
Below is an example that is unlabelled dataset and in terms of…
E.L
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1 answer
ValueError: '_index' is a reserved name for dataframe columns
I am trying to save a file as to h5ad format and it is giving this value error; ValueError: '_index' is a reserved name for dataframe columns.
import pandas as pd
import scanpy as sc
import numpy as np
data = sc.read_h5ad('f.h5ad')
annotation =…
user3635401
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- 4
0
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2 answers
clustering for users with features having different shape
"I currently have 10 users, each with 5 features. The first feature is 1-dimensional, the second feature is 2-dimensional with a shape of [8,2], the third feature is 1-dimensional, the fourth feature is 2-dimensional with a shape of [6,2], and the…
Run Zhang
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When search space is reduced to n clusters for face embedding matching how to find which cluster to check for the matching embedding
I am working on a face recognition problem where objective is to to reduce the search space for a query embedding to match with the registered embedding. I have 100000 face embedding in total, checking the similarity for a query embedding from the…
Adithya Raj
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- 3
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"Combining Knowledge-Based Pre-Filtering with Unsupervised Dimension Reduction Clustering: Is it a Good Idea?"
Aim: The aim is to extract different clusters of farm management types for farms that share similar pre-conditions, such as environmental factors or housing systems. By analyzing the heterogeneity within these homogeneous groups, more practical…
C_M
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- 2
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How can I combine Nystroem approximation with SpectralClustering in scikit-learn?
I have a collection of very large images. I tesselated these images into patches and computed feature embeddings via a pretrained ResNet for each patch in each image.
The mean number of patches is 15000 with a feature dimension of 1024.
I would like…
pastinflames
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0
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1 answer
OpenLayers cluster get incorrect style
I want to paint several clusters red, but when zoom the red flags disappear. I code on vue3 optionAPI.
script.js
import View from 'ol/View'
import Map from 'ol/Map'
import TileLayer from 'ol/layer/Tile'
import OSM from 'ol/source/OSM'
import…
Aleks_Andr_19
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- 4
0
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Composite scores for consensus clustering in R
I am using ConsensusClusterPlus package in R for clustering my omic data. I want to use my clusters for regression.Is there a way to create composite scores if say i reduce 1000 genes to 7 clusters and use those 7 clusters for regression.
I tried to…
soniS
- 1
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0 answers
Enterprise Integrator 6.5 Clustering/Loadbalancing
Upon implementing WSO2 EI Clustering and LoadBalancing with Apache on 2 nodes, the routing and functioning of EI management console goes well when only one node is up.
When the 2 nodes are up , the management console behaves unexpectedly (displays…
haitham
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Cluster ploynomial plots
I have a dataset containg images of first order to 5th order polynomails and I want to cluster them, using unsupervised machine learning.
Can any one help me to do so?
I already tried VGG16 to extract features but I guess since my images are just…
sepehr saeidi
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Can i have second reserve server[cluster] for Prometheus
I want to create second reserve server(cluster) for Prometheus.
and make Prometheus these two servers as active/active or active/passive.
for why?
when one of these servers go down, prometheus starts work with another server.
thank you.
nothing, i…
0
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0 answers
Access Attribute of individual feature in the feature layer create using client side graphics
this.mapNodes.forEach((node,i)=>{ // this.mapNodes is the data from API
this.simpleMarkerSymbol = {
type: "simple-marker",
color: node.colorCode,
style: "circle",
size: "10px",
…
0
votes
1 answer
How to transform inverse after clustering
I want to recover my data after K-means clustering on a scaled dataset with MinMaxScaler,
here is a sample of my code
copy_df=scaled_df.copy()
kmeans = KMeans(n_clusters=3, random_state=42)
kmeans.fit(features)
copy_df['Cluster'] =…
YassineK
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- 2
0
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1 answer
Unsupervised Clustering of large multi-dimentional data
Hello I am a machine learning newbie. I need some help with unsupervised clustering of high dimentional data. I have data with over 15 dimensions with around 50 - 80 thousand rows. The data looks something like this (15 participants with almost…
0
votes
1 answer
k-mean clustering - inertia only gets larger
I am trying to use the KMeans clustering from faiss on a human pose dataset of body joints. I have 16 body parts so a dimension of 32. The joints are scaled in a range between 0 and 1. My dataset consists of ~ 900.000 instances. As mentioned by…
nckstr15
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