All Questions
21 questions with no upvoted or accepted answers
3
votes
0
answers
342
views
How to deal with variability in clustering. Multiple/Meta clustering?
I'm not sure what information is relevant here, so here is some background:
I'm using Python 3 / sklearn, but I could probably use R if needed.
I have a small sparse data-set (~1500 samples, ~1600 ...
- 191
2
votes
0
answers
281
views
Perform clustering from a similarity matrix
I have a list of songs for each of which I have extracted a feature vector. I calculated a similarity score between each vector and stored this in a similarity matrix. I would like to cluster the ...
2
votes
0
answers
420
views
A problem with implementing PCA-guided k-means
I am new to machine learning. I am reading the papers K-means Clustering via Principal Component Analysis and PCA-guided search for K-means. But there are too many mathematical proofs in these papers. ...
- 21
1
vote
1
answer
346
views
Clustering Data with Time and ~10 million records
I have a dataset with features like product categories, their dimensions, price, units sold on a given day.
I want to create clusters out of this dataset (~12-15 million records) and I am using data ...
1
vote
0
answers
172
views
I don't understand why each time Kmeans finds the same centroid given different initialization?
The k-means algorithm does the following:
Given a set of points, we first choose k random points to be the initial centroids.
We then create k clusters. The ith cluster contains the points nearest to ...
- 11
1
vote
0
answers
36
views
Finding centroids without K-means
The Data:
Currently I have a simple distribution that looks like the histogram below. Every point is an integer between 0 and 16 and I have 350MB of these samples.
The Problem:
I want to identify 8 ...
- 131
1
vote
0
answers
162
views
python find the optimal # of cluster for K-Means algorithm
I have a data that contains 24 features and all features have some missing values. I want to use the impute-KNN algorithm from sklearn to fill the missing values. However, before I do that, I think I ...
- 21
1
vote
1
answer
359
views
Should I scale when clustering text data using K-means?
I want to cluster a folder of texts. I created a data file where for each text, I write whether a certain word appears in it or not. I want to cluster according to this.
So my matrix is globally only ...
- 363
1
vote
1
answer
151
views
Modifying k-means for points on torus
My data coordinates are degrees so each axis has values [-180, 180]. Therefore it's easy to spot that in fact the scatter plot on the right end continues on the left side and the same thing for up and ...
- 61
1
vote
0
answers
2k
views
Correct calculation of BIC (Bayesian Information Criterion) to determine K for K-Means
I am trying to calculate BIC in python. In python, there is no inbuilt library for computing BIC. I referenced the following link to compute variance and BIC further:- Using BIC to estimate the number ...
- 111
1
vote
0
answers
35
views
Identify Phrases Not in Training Set (Unsupervised)
I'm trying to train an unsupervised machine learning algorithm to learn a vocabulary and if it is given a word, it can predict how close that word is to what it already knows. Only issue is my ...
- 111
0
votes
0
answers
19
views
Clustering Mixed Data Types: Algorithm Selection, Distance Measurement, and Feature Weighting
I have a database of 74,000 records with 29 features. Fourteen of these features are categorical and are either 0 or 1, while the other 15 features are continuous and have been normalized and scaled ...
0
votes
0
answers
78
views
cluster 2d matrix (clustring)
i have a 2d Matrix and It contains specifications for laptops, where each group contains three components like thant :
...
0
votes
1
answer
199
views
How to evaluate the perforamance of clustering model using python
I have implemented the k means clustering model using python , i would like to know whether my model is perfect or not , so that i want to know which performance metrics is used for clustering model ...
- 23
0
votes
0
answers
232
views
Which is the best clustering algorithm for clustering multidimensional data with low density difference?
I am working on a project currently and I wish to cluster multi-dimensional data. I tried K-Means clustering and DBSCAN clustering, both being completely different algorithms.
The K-Means model ...
0
votes
1
answer
85
views
Visualize Analysis of clustering after pca
I am using kmeans for clustering and if I read the topics around here and somewhere else it is always recommended to do a graphical check-up for the number of ...
- 236
0
votes
0
answers
252
views
Using k-means clustering to train radial basis neural network for highly imbalanced dataset
I am trying to find prototype neurons for my radial basis neural network. My dataset has 30 attributes (of which 28 of them are the result of a single PCA) and 300.000 observations. It is a binary ...
- 3
0
votes
0
answers
367
views
Weighted K-means for my super market vs K-means
I have a Super Market. I want to find if product A is out of stock which product should i replace with. I am not sure what should i do, someone suggested me K-means for that. If sppose my data looks ...
Shyam Kishor
0
votes
0
answers
252
views
Theano K Means with Shared Variables and Scan
I have a pet project to reproduce some common clustering in theano in order to improve my understanding for future projects. I was wondering if anyone has ever used nested theano scans on shared ...
- 1
0
votes
0
answers
528
views
I want to classify data by distance from centroids in python
I'm making an image classifier that will tell if an image is a car or not, in Python.
here are my steps:
Get SIFT descriptors from about 200 images with cars on them.
On all those SIFT descriptors ...
- 21
0
votes
0
answers
1k
views
What could cause a K-means clustering algorithm to converge into a single cluster?
I am currently writing a K-means clustering algorithm in Python, and I seem to have coded myself into a corner... I begin my algorithm with data sets assigned randomly to the appropriate number of K ...
- 1