Fuzzy clustering algorithms are used in cluster analysis which is "fuzzy" in the same sense as fuzzy logic.
Questions tagged [fuzzy-c-means]
44 questions
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Matlab Fuzzy c means always gives same index majority ownership
when ever I run fcm on a color mri to segement it into clusters it always gives like .95 ownership to the same index in every column
%img is a pre read image file I use jpg and k is number of clusters
function findTumor(img,k)
…

Joseph Thompson
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Cluster centres with wrong dimentions in skfuzzy C mean clustering
Hello I have written below simple code to explore the Fuzzy Cmean clustering
import pandas as pd
import numpy as np
from os import listdir
from sklearn.model_selection import train_test_split
from skfuzzy.cluster import cmeans, cmeans_predict
from…

Katiyman
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Visualizing a clustering result with matplotlib
I ran a fuzzy c-means clustering algorithm on a dataset of size (11464, 2622) with 10 clusters and that yields a (10, 11464) size centers with Final fuzzy c-partitioned matrix of size (10, 2622).
My challenge is how to plot assigned clusters, for…

Jeremiah
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How to apply Matlab Fuzzy C-means (fcm) output for image segmentation
I have a 2D grayscale image (= data) which I am trying to segment using fcm.m:
Nc=2; %number of clusters is 2
[centers,U] = fcm(data,Nc);
How do I apply the output of fcm.m to segment the original image. I cannot find a worked example online.

2one
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How to disable logging for MATLAB's fuzzy c-means clustering?
I work with fcm in MATLAB. I need to turn off logging in command windows. What is the best way to accomplish this?
For example, when I run the command I get the following printed to the MATLAB command window
>> fcm(dok, 7)
Iteration count = 1, obj.…
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Audio segmentantion
What I am trying to do is to "separate" vowels from consonants from an audio file (wav file). For example, a file would be this sentence: "I am fine" and I have to separate the vowel sounds from the consonants one. After the "separation", I can…

Lerul Ler
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ImportError: No module named bitarray
I am trying to implement fuzzy c means algorithm in Python..I have used the builtin function to do the same in Matlab.I would like to know whether there is any such simple method in Python also.I tried…

puja
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R: Mahalanobis implementation in cmeans [e1071]
I was just wondering if there is a way in cmeans function [in package e1071] to perform the clustering using the Mahalanobis distance?
Many thanks

ERE
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Brain MRI Segmentation Using FCM (Labeling)
I am doing Brain MRI segmentation using Fuzzy C-Means, The volume image is n slices, and I apply the FCM for each slice, the output is 4 labels per image (Gray Matter, White Matter, CSF and the background), how I can give the same label (Color) for…

user3591261
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Finding those pixels that meet a specific criterion
Attached is an image of cameraman.tif that comes with matlab but after applying [fuzzy c-means] 1
Also, as an output from the algorithm is u2 (degree of membership of a pixel). See matlab.mat for this data.
What I want to do is select the pixel(s)…

Simplicity
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Representing the result in grayscale
I'm working with this script. The issue is that the result is coloured and I want it in grayscale, but couldn't figure what to change in the script to do that. Do you know what changes I should perform to get the result as grayscale?
Thanks.

Simplicity
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Jobs matching using fuzzy c-means and artificial bee colony algorithm
I have to cluster a list of jobs using fuzzy c-means optimized by the ABC Algorithm. any example of applying those algorithm together ??
thank you very much in advance for helping ...

Mariya
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error: not found: value RANDOM
I am trying to run Fuzzy C Means algorithm in Spark using Scala
I'm following below link for this:
https://github.com/acflorea/fuzzyCMeans
Click below to see screenshot of the error which I am receiving
Error Screenshot:
I am have used sbt then…

Muhammad Yasir
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