dendrogram的音標為[?dendr?gr?m]，基本翻譯為“分形樹圖”。速記技巧可以考慮將單詞拆分記憶，如“dendr”可以聯想到“樹木”，“gram”表示圖譜，這樣組合起來記憶有助于記憶單詞。

Dendrogram這個詞源自希臘語詞根“dendron”，意為“樹”或“樹狀物”。這個詞在英語中通常用來描述一種用于表示分類或層次結構的樹狀圖形。

變化形式：在英語中，dendrogram通常寫作dendrogram或dendrogramme，其復數形式為dendrograms。

相關單詞：

1. dendrite（樹突）：這個詞源自希臘語詞根“dendron”，意為“樹”，用來描述神經元接收刺激的突起部分。

2. dendrochronology（樹木年輪學）：這個詞由“dendrochronology”和“tree-ring”組成，意為研究樹木年輪的科學，通常用于確定歷史時期的氣候變化。

3. dendrologic（樹理學的）：這個詞由“dendrologic”和“tree-logic”組成，意為研究樹木生長和發育的邏輯或規律的科學。

4. dendrologist（樹學家）：這個詞由“dendrology”和“logist”組成，意為專門研究樹木的科學家。

5. dendroclimatology（樹木氣候學）：這個詞由“dendroclimatology”和氣候學組成，意為研究樹木生長和分布與氣候關系的研究。

以上這些單詞都與樹狀結構有關，反映了生物學、氣候學和分類學等多個領域的研究和應用。這些單詞在描述生物系統、環境變化和分類學等方面具有重要意義。

dendrogram:

1. hierarchical clustering

2. dendrogram clustering

3. tree clustering

4. dendrogram analysis

5. dendrogram visualization

6. dendrogram visualization tool

7. dendrogram visualization software

例句：

1. The dendrogram shows the clustering of the data points clearly.

2. The dendrogram analysis helped us identify the key clusters in the data.

3. The visualization tool makes it easy to understand the dendrogram.

4. The software used for dendrogram visualization is very user-friendly.

英文小作文：

Hierarchical Clustering Using Dendrogram: A Practical Approach to Data Analysis

In this era of big data, it is essential to have a method that can effectively group and organize data into meaningful clusters. One such method is hierarchical clustering, which uses a dendrogram as its visualization tool. A dendrogram is a type of tree diagram that represents the relationships between data points based on their similarity or distance.

By examining the dendrogram, one can easily identify the key clusters in the data and understand how they are related to each other. This makes it a powerful tool for data analysis and visualization. Additionally, it is easy to use and requires minimal expertise to operate.

In conclusion, hierarchical clustering using a dendrogram is a practical and effective method for data analysis and organization. It provides a clear and intuitive representation of the data, making it an ideal tool for researchers and data analysts alike.