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Questions tagged [mean-shift]

At the high level, we can specify Mean Shift as follows :

  1. Fix a window around each data point.
  2. Compute the mean of data within the window.
  3. Shift the window to the mean and repeat till convergence.

Read THIS LINK for more

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object detection and tracking

I have a function to detect an object held by a person but it is slow. top_left_x, top_left_y, bottom_right_x, bottom_right_y = self.segment_image(depth_image_raw,cv_image) I would like to do tracking for couple of frames in between to speed up the…
user4543816
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Generating high dimensional datasets with Scikit-Learn

I am working with the Mean Shift clustering algorithm, which is based on the kernel density estimate of a dataset. I would like to generate a large, high dimensional dataset and I thought the Scikit-Learn function make_blobs would be suitable. But…
danielvdende
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How to estimate and plot the cost values of PELT Algorithm

I'm using the PELT Algorithm provided in the Ruptures Package for change point detection (i.e. mean-shifts) in a timeseries signal. https://centre-borelli.github.io/ruptures-docs/ I'm able to successfully apply it to detect the mean-shifts in my…
EnigmAI
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not producing right output in mean_shift algorithm and performing segmentation for the image

I have a problem like I have to implement shift algorithm and perform the segmentation for the image. here is vegetable image I have to use a suitable bandwidth such that the vegetables look as seprated as can. I used manually sklearn…
timp bill
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MeanShift Using RGB and Location poor results

Hej! I try to make segmentation with Meanshift from scikit and want to use RGB and X and Y as feature (so the feature vector has the shape [N-pixels,5]). Of course you have to play a bit with the bandswith and so on, but I noticed I have to increase…
NisXx
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Python Camshift algorithm without opencv

so I have my last assignment and I have to implement Camshift algorithm, without using the in built function from opencv library. I have looked everywhere and I cannot find any code, where that would already be solved. Every single person…
FireHyperx
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Meanshift: distance from cluster centroid

I am trying to get the distance of all member data points in a cluster from that cluster centroid in meanshift clustering. Like in kmeans gives the distance via transform() method but unfortunately I am having trouble finding any such for meanshift.
Lp81194
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Color of the center of the clusters do not match with the color of its data points

I have a working example of Mean Shift clustering using Pandas and Sci-kit learn. I am new to Python so I think I am missing something basic here. Here is my working code: import pandas as pd import matplotlib.pyplot as plt import numpy as np from…
Sam
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What distance measure does centroid based meanshift algorithm uses for clustering?

I have a sparse TruncatedSVD matrices with 810 * 74 dimensions. I am trying to cluster with centroid-based MeanShift algorithm using sklearn api. However, I could not find information about the distance measure that meanshift uses by default…
Abdul Basith
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Scikit Learn for clustering mixed data (numeric & categorical)

Can someone please help modify the working example below to create clusters from the shared data? The example uses Mean Shift clustering from Scikit-Learn to identify patches of similar/co-located plant species in an agronomical facility. Similar…
Kdog
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Problems with initializing CamShift algorithm

I use matlab to implement a tracker using cam shift. I need to implement it myself hence I'm not using the built in method. I let the user choose the object to track and after the first iteration the convergence makes it start tracking a different…
Noam Mansur
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What does the color window radius in pyrMeanShiftFiltering mean?

My understanding of a RGB color vector is that it has 3 components like [100, 100, 100]. However, from the documentation, the argument sr – The color window radius in the Python function cv2.pyrMeanShiftFiltering(src, sp, sr[, dst[, maxLevel[,…
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mean shift algorithm for clustering user defined data consisting 3-4 features

I want to do cluster the data which consists of object names, x_coordinate, y_coordinate and corresponding temperature. Trying mean square clustering algorithm for clustering the nearby object according to location and the nearby temperature i.e.…
Harshad
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MeanShift Clustering from csv file

I have an csv file called age-average. It has 4 column userId,average,age,count. I want to take average and age to cluster my users. Here is my code: import csv import pandas as pd import numpy as np from sklearn.cluster import MeanShift import…
berkt
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Mean-Shift sklearn K function

I was trying to read the documentation on sklearn's MeanShift and saw this formula: What is the K function? I couldn't find it on that page.
Cartesian Theater
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