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Questions tagged [clustering]

Clustering is the problem of finding groups of data points (often modelled as nodes in a graph) that are closer to each other than to other points.

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Is there an approximation algorithm for the three-person stable roommates problem?

While there's an algorithm for solving the stable roommates problem, I understand that the three-people-per-room version of that problem, sometimes called the "threesome roommates problem", ...
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50 views

How do I assign homes to hospitals based on locality? (clustering, kmeans?)

I have a large set of $(X)$ hospitals and $(Y)$ homes, where $(Y)$ is much larger than $(X)$, and their respective coordinates. Each hospital can handle any home within a 50 mile radius, and up to 10,...
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26 views

Is there an online/offline tool that can perform K-means/median, given an initial centroid from the user?

The types of problems I am trying to solve are as follows: Given a set of co-ordinates such as: (1,2), (3,3), (6,2), (7,1), a value of k such as k=3 and an initial set of centroids such as c1=(2,2) ...
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How does secondary clustering occur in hashing?

One of my friends said me that secondary clustering is the phenomenon occurring when the probe sequence has the same initial value. This definition shows that secondary clustering occurs in linear ...
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11 views

building a unsupervised learning model to detect suspicious transactions using DBSCAN

I am working for the first time on building a unsupervised learning model to detect suspicious transactions using DBSCAN, Do I train the model on all data columns(Columns like account number, ...
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27 views

What does the decision boundary of XOR problem look like?

My textbook walks through an example of solving the XOR problem in machine learning using a two-dimensional RBF network. It does this by setting the centers for the two basis functions at [0,0] and [1,...
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14 views

How to cluster a dataset in which each data point is composed of a set of 2-dimensional coordinates

I have a dataset with totally $1000$ scenarios, each of which is composed of $5$ users' coordinates $(x_i,y_i), \forall i \in \{1,\dots,5\}$. Now, based on users' coordinates, I want to cluster these $...
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24 views

Bounding 0-1 matrix with k unique rows

Problem Statement: Suppose that I have a $0-1$ matrix $A$ (all of the entries are $0$ or $1$). I wish to find the tightest upper bound with $k$ many unique rows. To be more precise, let S denote the ...
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32 views

RPI cluster performance related to network performance

I'm writing my thesis and i have built a RPI cluster, containing 10 nodes which consists of RPI model 3b. I've them connected to two gigabit switches. I don't know the CAT of the cables. They are not ...
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44 views

How to find clusters of a set of points in n-dimensional space that are furthest from unwanted points

I have a list of 25 points and their coordinates in a 512-dimensional space. I have 8 target points and 17 points I need to avoid (the 17 points to avoid also have differences in priority of how ...
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27 views

Spliting strings into groups of similar strings

I would like to group a list of strings into groups of strings differing by max 1 character: For instance, given: [John, Alibaba, Johny, Alidaba, Mary] I would ...
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68 views

Divide directed weighted graph into two parts

I have a directed, weighted graph $G = (E,V)$. For example, one might be $|E| = 74000, |G| = 725$. I want to divide this graph into two parts/clusters/communities, taking the edge weights into ...
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20 views

Evaluating clustering/partitioning quality

I'm wondering what are the most common/recognized methods to assess the quality of a clustering. That is because I have developed a tool that can cluster/partition a network (in this case, a public ...
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87 views

How to perform particle swarm optimization clustering of results obtained from tf-idf vectorizer?

I have a collection of news articles. I have performed tf-idf operations on them. I am using python as programming language so it was just the use of TF-IDF vectorizer function. I now have the ...
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37 views

Cluster with categorical / ordinal

i have a dataset with movies review. I wish cluster my element but inside i have a categorical / ordinal values. i seen that exist: MCA (Multiple Correspondence Analysis) https://www.utdallas.edu/~...
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129 views

Algorithm to group entities into variable sized groups based on attribute

I have the following problem: There are n entities (persons) having a common attribute (weight) and I need to build weight categories (this is for a sports event) grouping people based on their ...
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126 views

Clustering non-overlapping time series

I have thousands of times series of different length and different time. I want to group them together so that I know the optimal ones to pick as input for a ML algorithm and to document how they are ...
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39 views

how to add bound to clustering algorithm?

I've got a numeric matrix with 72 rows and 2 columns where the first column is the index value and the other column has sequence from 0 to 5 repeated 12 times. The dataset is like above: ...
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2answers
450 views

What are the drawbacks of Normalized Mutual Information clustering evaluation method?

What are the drawbacks of Normalized Mutual Information (NMI) clustering evaluation method? For evaluating what clustering algorithms, is the NMI evaluation method suitable?
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417 views

Clustering based on weights of edges

I have a weighted graph representing traffic network. Nodes represent the locations and vertices represent available paths between locations. Weight values represent number of the passages on the path....
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48 views

Spectral clustering algorithm doesn't use all available clusters

We have implemented a spectral clustering algorithm according to the article Multiclass Spectral Clustering (Yu and Shi, Proc. IEEE ICCV '03, vol. 2, pp. 313–319, 2003; PDF). We used ...
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348 views

Cobweb category utility

I'm trying to understand the category utility function in the COBWEB algorithm. Assume you have the following data and build a set C of three clusters (three child-nodes under the root node), one for ...
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35 views

Adjust FCM algorithm with size constrains

I want to cluster a list of property addressed based on distance and limit the size of each cluster. The properties are currently assigned to modules by discretion of managers. But I hope to develop ...
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39 views

Finding number of clusters in a dataset

I am learning the basics of data classification using competitive learning, and am somewhat confused regarding the way this is implemented. I understand at the start an amount N of prototypes is ...
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23 views

Is this an accepted/valid clustering evaluation metric?

We have a clustering algorithm where the number of clusters isn't known to the algorithm - it iteratively creates clusters out of similar-looking data points. The evaluation metric we're currently ...
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78 views

Is k-means parallelizable (other than the data parallelism of the distance function computation)

The k-means algorithm is known to be NP-hard. While the distance function computation in the algorithm loop is data parallel, the algorithm is iterative and may become exponential in the number of ...
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Determine the optimal value of K - K-means clustering

I am trying to determine the optimal value of k. I have used a graph to plot the SSE against the values of k. Using the elbow method, what would be the optimal value of k? I am unsure as to whether 7 ...

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