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Questions tagged [unsupervised-learning]

Unsupervised learning refers to machine learning contexts in which there is no prior 'training' period in which the learning agent is trained on objects of known type. As such, supervised learning includes such disciplines as mathematical clustering, whereby data is segmented into clusters based on the minimisation or maximisation of mathematical properties and not on an attempt to classify by understanding the right context.

Unsupervised learning (or clustering) refers to machine learning algorithms in which there is no 'label' available for the training data and the model tries to learn the underlying manifold. As such, unsupervised learning includes such disciplines as mathematical clustering, whereby data is segmented into clusters based on the minimization or maximization of mathematical properties and not on an attempt to classify by understanding the right context.

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Isolation forest - understanding the plot

I'm a begginer with isolation forest and i started with the tutorial in this link : https://www.kaggle.com/rgaddati/unsupervised-fraud-detection-isolation-forest I didn't understand the first plot of path length. what does the brown color means…
Zoya
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Machine Learning Algorithm for Dynamic Environments

Which methods are best for managing and predicting and labeling data in dynamic environment? The system data distribution changes and it is not static. The system can have different normal settings and under different settings, we have different…
Arkan
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how to cluster tokenized documents

I have a list of documents, and I want to find out how close they are, in terms of similarity, to some single document. I just figured out how to cluster tokenized documents, but I do not know how to check their distance from a target document. The…
buydadip
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Draw distance contours in low dimension representation in python

I have a set of n_samples data points. Each data point has n_features (of the order of hundreds or thousands of features). I use K-Means clustering and Euclidean distance to cluster the points into n_clusters. Then I use TSNE to convert my high…
user2725109
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Why is a feature good for distinguishing a cluster?

Let us supposed that we are trying to rank the importance of each feature of the dataset for each given cluster, in a clustering task. What are the characteristics that we should measure in the feature for considering it good for characterizing a…
Zaratruta
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Recall Precision Curve for clustering algorithms

I would like to know whether precision recall curve is relevant for clustering algorithms. For example by using unsupervised learning techniques such as Mean shift or DBSCAN.(Or is it relevant only for classification algorithms). If yes how to get…
Santhosh Kk
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Binary Classification with Neural Networks?

I have a dataset of the order of MxN. I want to perform a binary classifcation on this dataset using neural networks. I was looking into Recurrent Neural Networks. Although, LSTM's can be used for AutoEncoders, I am not sure if they can be used for…
prabhu
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Query regarding k-means clustering in MATLAB

I have a very large amount of data in the form of matrix.I have already clustered it using k-means clustering in MATLAB R2013a. I want the exact coordinates of the centroid of each cluster formed.. Is it possible using any formula or anything else?…
user5917659
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Use K-means to learn features in Python

Question I implemented a K-Means algorithm in Python. First I apply PCA and whitening to the input data. Then I use k-means to successfully subtract k centroids out of the data. How can I use those centroids to understand the "features" learnt? Are…
Jamona
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Unsupervised Learning

I am working on final year project which has to be coded using unsupervised learning (KMeans Algorithm). It is to predict a suitable game from various games regarding their cognitive skills levels. The skills are concentration, Response time,…
Seyon 94
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The Google PageRank Algorithm

I am going through the PageRank algorithm. In the book Elements of Statistical Learning in chapter Unsupervised Learning the follwing statement is given: The PageRank algorithm considers a webpage to be important if many other webpages point to…
ironman
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How do I learn programming when I don't understand a lot of terminology?

There are things like frameworks, api and libraries and multi paradigm programming languages and a lot of terms that I don't understand. Should I start learning programming languages and do projects and learn as I go along? I'm studying mis; just…
Kevin Farrell
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finding out the coordinates of centroid of cluster in k-means clustering

I have a large amount of data. I have implemented k-means clustering on my data. It clustered the data and plot the graph having data points around centroid in the cluster. The graph is the following: But I want to get the exact x and y coordinates…
user5939997
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Unsupervised algorithm for image classification

I have a collection of 3500 images and each image is apparted of 12 merged figures that look like this: I am searching for an unsupervised ML algorithm that will help me identify possible clusters out of these images. Any suggestions?
Jokerp
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clustering VS supervised classification, in the case of very small database

I'm trying to classify/cluster subjects according to 4 features in two classes: healthy and sick. Two things to know: I know the labels/classes of each subject + I only have 40 subjects (in total: training + testing set!) What should I choose in…
learners
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