Clementine is a free lightweight, and fast music player program which is available for Windows, Linux, Mac, and the Raspberry Pi. It has a easy to use user interface which makes playing your music files and searching your music library very easy to do on Clementine. Clementine also has a lot of nice features like a playlist editor, copy music to your iPod, iPhone, or MP3 player, visualizations, and online streaming music playback from online services like SoundCloud. It can also play a lot of different music file formats like MP3, Ogg Vorbis, Ogg Speex, FLAC or AAC, and music CDs.
Clementine is a third party application that provides additional functionality to OS X system and enjoys a popularity among Mac users. However, instead of installing it by dragging its icon to the Application folder, uninstalling Clementine may need you to do more than a simple drag-and-drop to the Trash.
Clementine OS 10.8 will start development in April of 2014 based on the upcoming Ubuntu 14.04 LTS. The official website is out and now provides iso images for Pear OS 8. Clementine OS WebSite:clementineos.hj.cx. UPDATE 1: The developer received a letter from an American company that forced him to abandon the project. Clementine Music Player is a multiplatform music player. It is inspired by Amarok 1.4, focusing on a fast and easy-to-use interface for searching and playing your music. Now with Podcast support, including integration and synchronization with gpodder.net. You can run Clementine on Mac OS X 10.7.0 or later. This free Mac application is a product of Clementine Team. The program lies within Audio & Video Tools, more precisely Players. Clementine is a rip-off from the famous KDE based linux music player and manager Amarok. Well, the good part about Clementine is that it is cross platform which means you can use it on Linux, Windows & Macintosh OS.
The sound quality of music played on Clementine music player is great. Music files played on it sound loud, and clear. Music plays very smoothly in Clementine without slowdown and choppy audio problems. The sound quality of streaming music from Sound Cloud, and other online services is smooth.
I like the simple to use user interface of Clementine with the large playlist list on the right of the program, and music playback buttons on the bottom. The Search, information, file explorer, and storage devices sidebar on the left of Clementine makes it easy for me to search my music library, and the internet for music to play on my computer. It is also easy to adjust the volume, and equalizer in Clementine.
Clementine is inspired by Amarok 1.4 music player. It has a lot of nice features. It can play many different music file formats like MP3, OGG, and Flac, and it can play Audio CDs as well. Clementine can play music online from Spotify, Grooveshark, SomaFM, Magnatune, Jamendo, SKY.fm, Digitally Imported, JAZZRADIO.com, Soundcloud, Icecast and Subsonic servers, so you can listen to music online when you are connected to the internet. You can also listen to music which you uploaded to your Box, Dropbox, Google Drive, and OneDrive online storage accounts. You can create smart and dynamic playlists in Clementine. It supports Tabbed playlists, M3U, XSPF, PLS and ASX playlist files. Clementine has Music Visualisations from projectM. Clementine music player also can go online, and find and display Lyrics and artist biographies and photos for the song, or album you are playing. I can Edit tags on MP3 and OGG files, so I can organise my music with Clementine. It can even Fetch missing tags from MusicBrainz. It can missing album cover art from Last.fm and Amazon. You can use Clementine to download, and listen to podcasts. It has desktop notifications on Linux, and Mac.You can also use a Google Android device, a Wii Remote, MPRIS or the command-line as a remote control to control Clementine music player. You can use Clementine to copy music to an iPod, iPhone, or MP3 player. It can also trans-code music to different music file formats like MP3, Ogg Vorbis, Ogg Speex, FLAC or AAC.
Clementine also runs very fast even on my slower Raspberry Pi 2 mini computer which has a 900MHz mobile ARM CPU, 1GB of RAM, 8GB Storage, and onboard video and sound. Clementine only takes a few seconds to open after I open it by clicking on its shortcut icon on my desktop. It also plays music on my computer, and online music from the internet very smoothly without slowdown problems like choppy/slow audio. When I have Clementine open, and playing music, It also does not slow down my computer, so my computer runs smoothly even when Clementine is playing my music library in the background while I use my PC to browse the web, type on, and office tasks like word processing. It also does not use a lot of storage space on my Storage drive on my computer since the installer file is only a few MBs in size. Clementine is one of the best low system resource usage music player for desktop and laptop computers which run Windows, Linux, Mac, and Raspbian Linux for the Raspberry Pi.
Clementine is a fast, simple to use, feature-rich and very reliable free music player which works for Linux, Windows, Mac, and the Raspberry Pi 2.
Learn more about Clementine at https://www.clementine-player.org/
| Developer(s) | IBM Corp. |
|---|---|
| Stable release | 18.2.2 / September 2020; 4 months ago |
| Operating system | Windows, Linux, Unix, Mac OS X |
| Type | Data mining and Predictive analytics |
| License | Proprietary software |
| Website | www.ibm.com/products/spss-modeler |
IBM SPSS Modeler is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.
One of its main aims from the outset was to get rid of unnecessary complexity in data transformations, and to make complex predictive models very easy to use.
The first version incorporated decision trees (ID3), and neural networks (backprop), which could both be trained without underlying knowledge of how those techniques worked.
IBM SPSS Modeler was originally named Clementine by its creators, Integral Solutions Limited. This name continued for a while after SPSS's acquisition of the product. SPSS later changed the name to SPSS Clementine, and then later to PASW Modeler.[1] Following IBM's 2009 acquisition of SPSS, the product was renamed IBM SPSS Modeler, its current name.
Applications[edit]
SPSS Modeler has been used in these and other industries:
- Customer analytics[2] and Customer relationship management (CRM)
- Fraud detection and prevention[3]
- Optimizing insurance claims[citation needed]
- Risk management[citation needed]
- Manufacturing quality improvement[citation needed]
- Healthcare quality improvement[4]
- Forecasting demand or sales[citation needed]
- Law enforcement[5] and border security
- Education[6]
- Telecommunications[7]
- Entertainment: e.g., predicting movie box office receipts[8][9]
Editions[edit]
IBM sells the current version of SPSS Modeler (version 18.2.1) in two separate bundles of features. These two bundles are called 'editions' by IBM:
- SPSS Modeler Professional: used for structured data, such as databases, mainframe data systems, flat files or BI systems
- SPSS Modeler Premium: Includes all the features of Modeler Professional, with the addition of:
- – Text analytics
Both editions are available in desktop and server configurations.
In addition to the traditional IBM SPSS Modeler desktop installations, IBM now offers the SPSS Modeler interface as an option in the Watson Studio product line which includes Watson Studio (cloud), Watson Studio Local, and Watson Studio Desktop.
Watson Studio Desktop documentation: https://www.ibm.com/support/knowledgecenter/SSBFT6_1.1.0/mstmap/kc_welcome.html
Clementine Macos Catalina
Release history[edit]
- Clementine 1.0 – June 1994 by ISL[10]
- Clementine 5.1 – Jan 2000
- Clementine 12.0 – Jan 2008
- PASW Modeler 13 (formerly Clementine) – April 2009
- IBM SPSS Modeler 14.0 – 2010
- IBM SPSS Modeler 14.2 – 2011
- IBM SPSS Modeler 15.0 – June 2012
- IBM SPSS Modeler 16.0 – December 2013
- IBM SPSS Modeler 17.0 – March 2015
- IBM SPSS Modeler 18.0 -- March 2016 [11]
- IBM SPSS Modeler 18.1 -- June 2017 [12]
- IBM SPSS Modeler 18.2 -- March 2019
Product history[edit]
Early versions of the software were called Clementine and were Unix-based. The first version was released on Jun 9th 1994, after Beta testing at 6 customer sites. Clementine was originally developed by a UK company named Integral Solutions Limited (ISL),[10] in Collaboration with Artificial Intelligence researchers at Sussex University. The original Clementine was implemented in Poplog, which ISL marketed for Sussex University.
Clementine mainly used the Poplog languages, Pop11, with some parts written in C for speed (such as the neural network engine), along with additional tools provided as part of Solaris, VMS and various versions of Unix. The tool quickly garnered the attention of the data mining community (at that time in its infancy).
Clementine For Mac Os
In order to reach a larger market, ISL then Ported Poplog to Microsoft Windows using the NutCracker package, later named MKS Toolkit to provide the Unix graphical facilities. Original in many respects, Clementine was the first data mining tool to use an icon based Graphical user interface rather than requiring users to write in a Programming language, though that option remained available for expert users.
In 1998 ISL was acquired by SPSS Inc., who saw the potential for extended development as a commercial data mining tool. In early 2000 the software was developed into a client / server architecture, and shortly afterward the client front-end interface component was completely re-written and replaced with a new Java front-end, which allowed deeper integration with the other tools provided by SPSS.
SPSS Clementine version 7.0: The client front-end runs under Windows. The server back-end Unix variants (Sun, HP-UX, AIX), Linux, and Windows. The graphical user interface is written in Java.
IBM SPSS Modeler 14.0 was the first release of Modeler by IBM.
IBM SPSS Modeler 15, released in June 2012, introduced significant new functionality for Social Network Analysis and Entity Analytics.
Clementine Mac Os 10.7
See also[edit]
References[edit]
- ^'Oh My Darling! SPSS Says Goodbye Clementine, Hello 'PASW' – Intelligent Enterprise'.
- ^'The Forrester Wave™: Customer Analytics Solutions'. Forrester Research, Inc. 2012.
- ^'Us-en_software_HP'.
- ^'Us-en_software_HP'.
- ^'Us-en_software_HP'.
- ^http://public.dhe.ibm.com/common/ssi/ecm/en/imw14303usen/IMW14303USEN.PDF
- ^http://public.dhe.ibm.com/common/ssi/ecm/en/ytw03085usen/YTW03085USEN.PDF
- ^Delen, Dursun (2009). 'Predicting Movie Box-Office Receipts Using SPSS Clementine Data Mining Software'.Cite journal requires
|journal=(help) - ^Nisbet, Robert; Elder, John; Miner, Gary (2009). Handbook of Statistical Analysis and Data Mining Applications. Elsevier. pp. 391–415. ISBN978-0-12-374765-5.
- ^ abShearer, Colin (November 18, 1994). 'Mining themw-data:TemplateStyles:r999302996'>'Announcing IBM SPSS Modeler 18'. 2016-03-15.
- ^'IBM SPSS Modeler 18.1 — Coding Free Open Source, Seamless Weather Data and Optimization Integration and Text Analytics for Big Data'. 2017-06-20.
Further reading[edit]
- Chapman, P.; Clinton, J.; Kerber, R.; Khabaza, T.; Reinartz, T.; Shearer, C.; Wirth, R. (2000). 'CRISP-DM 1.0'(PDF). Chicago, IL: SPSS.Cite journal requires
|journal=(help) - Nisbet, R.; Elder, J.; Miner, G. (2009). 'Handbook of Statistical Analysis and Data Mining Applications'. Burlington, MA: Academic Press (Elsevier).Cite journal requires
|journal=(help) - Khabaza, Tom (1999). 'The Story of Clementine'(PDF).Cite journal requires
|journal=(help)
External links[edit]
- [1] SPSS Modeler 18.2.1 Documentation
- Users Guide – SPSS Modeler 18.2.1