pam | simple implementation of PAM for K-Medoids in python | Machine Learning library

 by   arranger1044 Python Version: Current License: GPL-3.0

kandi X-RAY | pam Summary

kandi X-RAY | pam Summary

pam is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. pam has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However pam build file is not available. You can download it from GitHub.

Simple implementation of the Partitioning Around Medoids (PAM) using numba or theano to speed up the computation.
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            kandi-support Support

              pam has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              pam has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pam is current.

            kandi-Quality Quality

              pam has 0 bugs and 0 code smells.

            kandi-Security Security

              pam has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pam code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pam is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              pam releases are not available. You will need to build from source code and install.
              pam has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pam and discovered the below as its top functions. This is intended to give you an instant insight into pam implemented functionality, and help decide if they suit your requirements.
            • Compute k - means clustering
            • Creates theano cost function
            • Calculate the closest medoids to the given distances
            • Convert medoids to cluster IDs
            • Compute similarity matrix
            • Convert csv to numpy array
            Get all kandi verified functions for this library.

            pam Key Features

            No Key Features are available at this moment for pam.

            pam Examples and Code Snippets

            No Code Snippets are available at this moment for pam.

            Community Discussions

            QUESTION

            Fill Columns with TRUE or FALSE based on other Dataframe
            Asked 2022-Apr-07 at 07:44

            Unfortunately I have a problem and would have to ask for your support.

            I have a list of the most popular pet names. From the dataframe x, it appears that "Jerry" is the most popular mouse name, "Garfield" is the second most popular cat name, and so on.

            ...

            ANSWER

            Answered 2022-Apr-07 at 07:36

            One option is to serially left_join() x onto y and then convert the NA into logical at the end.

            Source https://stackoverflow.com/questions/71777628

            QUESTION

            2FA is not working with Ubuntu AWS instance
            Asked 2022-Mar-31 at 11:03

            I worked on setting up 2FA while doing ssh in EC2 instance. But after the setup instance is still not asking for 2FA code and directly logs my user i.e. ubuntu into the server.

            I did following steps to setup 2FA:

            1. Install Google Authenticator PAM module.

              sudo apt install libpam-google-authenticator

            2. Add auth required pam_google_authenticator.so to /etc/pam.d/sshd

            3. Restart ssh sudo systemctl restart sshd.service

            4. Update sshd_config with following:

              ChallengeResponseAuthentication yes PasswordAuthentication no

            5. Run command google-authenticator

            Please help me resolve this issue. Thanks in advance.

            ...

            ANSWER

            Answered 2022-Mar-31 at 11:03

            I was facing this issue because of other configuration was enabled. PubKeyAuthentication was used instead of authenticator. I change it to PubKeyAuthentication no which resolved the issue.

            Source https://stackoverflow.com/questions/71657716

            QUESTION

            Pandas groupby cumcount - one cumulative count rather than a cumulative count for each unique value
            Asked 2022-Mar-29 at 05:51

            Let's say I have a df

            ...

            ANSWER

            Answered 2022-Mar-29 at 05:11

            Lets try sort df, check consecutive difference, create new group by cumsum and then resort the df

            Source https://stackoverflow.com/questions/71656436

            QUESTION

            Silhouette plot from dendrogram in R
            Asked 2022-Mar-15 at 08:32

            I'm using hierarchical clustering for my data. And I'd like to plot the Silhouette score across different number of cluster. I have searched a lot posts, and I found that I need to use pam for the clustering in order to plot the Silhouette score. I'm wodering if there is a way to plot based on hierarchical clustering result?

            Here is a sample data:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:32

            hclust returns just a dendrogram representing clusters inside clusters. The silhouette score is defined on one specific clustering and not on all possible clusterings. This is why it works with Partitioning Arround Medoids (PAM) out of the box. In hierarchical clustering, however, one needs to decide first which clustering to chose by cutting dendrogram tree.

            This is how to plot the silhouettes for a hierarchical clustering using k=5 clusters:

            Source https://stackoverflow.com/questions/71475749

            QUESTION

            Unconventional data frame reshaping using dcast
            Asked 2022-Feb-26 at 11:24

            I want to convert table dt:

            ...

            ANSWER

            Answered 2022-Feb-26 at 11:24

            QUESTION

            How to see the elements hiding under "Other" in the output of a summary in R?
            Asked 2022-Jan-11 at 18:40

            I'm using the following data set to perform a cluster analysis on categorical data - link to data set - using the following packages in R:

            ...

            ANSWER

            Answered 2022-Jan-11 at 17:18

            You may use maxsum=. Example:

            Source https://stackoverflow.com/questions/70670774

            QUESTION

            How to run a command as root with C or C++ with no pam in linux with password authentication
            Asked 2022-Jan-07 at 03:05

            TL;DR How does for example su or sudo work with no PAM?

            Hello,

            I want to play around with suid and stuff, I already got the SUID part and the SUID bit and stuff, but the problem is that it's not asking me for a password and as I want it to ask a password and find su and sudo quite mangled in source I am very confused.

            I looked into setsuid() and getuid() documentation and it doesn't seem like there is anything about password authentication.

            How would one achieve password authentication with no PAM, I use sudo with no pam and it works fine, su with pam, both work fine, I am confused how I'd make it work

            This C++ code is what I have right now:

            ...

            ANSWER

            Answered 2022-Jan-07 at 03:05

            First, the basics: each process has a userid and a groupid (I am going to ignore supplemental attributes like additional groupids).

            Userid 0 is root. That's it, end of story.

            When you have a process whose userid is 0, it's a root process. End of story.

            How a process acquires its userid 0 is immaterial. If a process's userid is 0, it is a root process, and that's it.

            When you go through the motions of setting up a setuid process, that setuid(0)s itself, you're done. You're a root process. That's it. There's nothing more to say about it.

            setsuid() and getuid() documentation and it doesn't seem like there is anything about password authentication.

            Correct. All they do is adjust/update the userid. That's it. There's nothing more to it.

            The su and sudo processes do the following:

            1. They are setuid executables.

            Source https://stackoverflow.com/questions/70615937

            QUESTION

            Convert .mp4 to gif using ffmpeg in golang
            Asked 2022-Jan-06 at 16:09

            I want to convert my mp4 file to gif format. I was used the command that is working in command prompt. i.e., converting my .mp4 into gif but in go lang it is not done anything. Here is my command:

            ...

            ANSWER

            Answered 2022-Jan-06 at 16:09

            This is not exactly what you are looking for, but it is possible to do it like this:

            Source https://stackoverflow.com/questions/70607895

            QUESTION

            Address Sanitizier invokes OOM-killer
            Asked 2021-Oct-14 at 09:45

            I am trying to use Address Sanitizer, but the kernel keeps killing my process due to excessive memory usage. Without Address Sanitizer the process runs just fine.

            The program is compiled for arm-v7a using gcc-8.2.1 with

            ...

            ANSWER

            Answered 2021-Oct-14 at 09:45

            You could reduce some Asan features (or enable them one by one in separate runs):

            Source https://stackoverflow.com/questions/69566515

            QUESTION

            How to assign new observations to cluster using distance matrix and kmedoids?
            Asked 2021-Oct-11 at 12:38

            I have a dataframe that holds the Word Mover's Distance between each document in my dataframe. I am running kmediods on this to generate clusters.

            ...

            ANSWER

            Answered 2021-Oct-04 at 17:19

            The source code for k-medoids says the following:

            Source https://stackoverflow.com/questions/69408535

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pam

            You can download it from GitHub.
            You can use pam like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/arranger1044/pam.git

          • CLI

            gh repo clone arranger1044/pam

          • sshUrl

            git@github.com:arranger1044/pam.git

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